id stringlengths 10 10 | title stringlengths 28 136 | text stringlengths 5.62k 98.6k | num_sections int64 4 44 |
|---|---|---|---|
1912.10806 | DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News | # DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News
## Abstract
Stock price prediction is important for value investments in the stock market. In particular, short-term prediction that exploits financial news articles is promising in recent years. In this paper, we propose a novel ... | 15 |
1912.11602 | Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization | # Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization
## Abstract
Lead bias is a common phenomenon in news summarization, where early parts of an article often contain the most salient information. While many algorithms exploit this fact in summary generation, it has a detrimental effec... | 17 |
1912.13109 | "Hinglish"Language -- Modeling a Messy Code-Mixed Language | # "Hinglish"Language -- Modeling a Messy Code-Mixed Language
## Abstract
With a sharp rise in fluency and users of "Hinglish" in linguistically diverse country, India, it has increasingly become important to analyze social content written in this language in platforms such as Twitter, Reddit, Facebook. This project f... | 13 |
1912.13337 | What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge | # What Does My QA Model Know? Devising Controlled Probes using Expert Knowledge
## Abstract
Open-domain question answering (QA) is known to involve several underlying knowledge and reasoning challenges, but are models actually learning such knowledge when trained on benchmark tasks? To investigate this, we introduce ... | 21 |
2001.00137 | Stacked DeBERT: All Attention in Incomplete Data for Text Classification | # Stacked DeBERT: All Attention in Incomplete Data for Text Classification
## Abstract
In this paper, we propose Stacked DeBERT, short for Stacked Denoising Bidirectional Encoder Representations from Transformers. This novel model improves robustness in incomplete data, when compared to existing systems, by designing... | 16 |
2001.01269 | Generating Word and Document Embeddings for Sentiment Analysis | # Generating Word and Document Embeddings for Sentiment Analysis
## Abstract
Sentiments of words differ from one corpus to another. Inducing general sentiment lexicons for languages and using them cannot, in general, produce meaningful results for different domains. In this paper, we combine contextual and supervised... | 14 |
2001.02380 | A Neural Approach to Discourse Relation Signal Detection | # A Neural Approach to Discourse Relation Signal Detection
## Abstract
Previous data-driven work investigating the types and distributions of discourse relation signals, including discourse markers such as 'however' or phrases such as 'as a result' has focused on the relative frequencies of signal words within and ou... | 13 |
2001.05467 | AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses | # AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses
## Abstract
Many sequence-to-sequence dialogue models tend to generate safe, uninformative responses. There have been various useful efforts on trying to eliminate them. However, these approaches either improve decoding algorithms during infere... | 17 |
2001.05493 | A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts | # A Unified System for Aggression Identification in English Code-Mixed and Uni-Lingual Texts
## Abstract
Wide usage of social media platforms has increased the risk of aggression, which results in mental stress and affects the lives of people negatively like psychological agony, fighting behavior, and disrespect to o... | 14 |
2001.06354 | Modality-Balanced Models for Visual Dialogue | # Modality-Balanced Models for Visual Dialogue
## Abstract
The Visual Dialog task requires a model to exploit both image and conversational context information to generate the next response to the dialogue. However, via manual analysis, we find that a large number of conversational questions can be answered by only l... | 29 |
2001.07209 | Text-based inference of moral sentiment change | # Text-based inference of moral sentiment change
## Abstract
We present a text-based framework for investigating moral sentiment change of the public via longitudinal corpora. Our framework is based on the premise that language use can inform people's moral perception toward right or wrong, and we build our methodolo... | 16 |
2001.08051 | TLT-school: a Corpus of Non Native Children Speech | # TLT-school: a Corpus of Non Native Children Speech
## Abstract
This paper describes "TLT-school" a corpus of speech utterances collected in schools of northern Italy for assessing the performance of students learning both English and German. The corpus was recorded in the years 2017 and 2018 from students aged betw... | 14 |
2001.09332 | An Analysis of Word2Vec for the Italian Language | # An Analysis of Word2Vec for the Italian Language
## Abstract
Word representation is fundamental in NLP tasks, because it is precisely from the coding of semantic closeness between words that it is possible to think of teaching a machine to understand text. Despite the spread of word embedding concepts, still few ar... | 9 |
2001.09899 | Vocabulary-based Method for Quantifying Controversy in Social Media | # Vocabulary-based Method for Quantifying Controversy in Social Media
## Abstract
Identifying controversial topics is not only interesting from a social point of view, it also enables the application of methods to avoid the information segregation, creating better discussion contexts and reaching agreements in the be... | 11 |
2002.00652 | How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context | # How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context
## Abstract
Recently semantic parsing in context has received a considerable attention, which is challenging since there are complex contextual phenomena. Previous works verified their proposed methods in limited sc... | 25 |
2002.00876 | Torch-Struct: Deep Structured Prediction Library | # Torch-Struct: Deep Structured Prediction Library
## Abstract
The literature on structured prediction for NLP describes a rich collection of distributions and algorithms over sequences, segmentations, alignments, and trees; however, these algorithms are difficult to utilize in deep learning frameworks. We introduce ... | 12 |
2002.01320 | CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus | # CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus
## Abstract
Spoken language translation has recently witnessed a resurgence in popularity, thanks to the development of end-to-end models and the creation of new corpora, such as Augmented LibriSpeech and MuST-C. Existing datasets involve language pai... | 14 |
2002.01359 | Schema-Guided Dialogue State Tracking Task at DSTC8 | # Schema-Guided Dialogue State Tracking Task at DSTC8
## Abstract
This paper gives an overview of the Schema-Guided Dialogue State Tracking task of the 8th Dialogue System Technology Challenge. The goal of this task is to develop dialogue state tracking models suitable for large-scale virtual assistants, with a focus... | 13 |
2002.02070 | Understanding Car-Speak: Replacing Humans in Dealerships | # Understanding Car-Speak: Replacing Humans in Dealerships
## Abstract
A large portion of the car-buying experience in the United States involves interactions at a car dealership. At the dealership, the car-buyer relays their needs to a sales representative. However, most car-buyers are only have an abstract descript... | 9 |
2002.02427 | Irony Detection in a Multilingual Context | # Irony Detection in a Multilingual Context
## Abstract
This paper proposes the first multilingual (French, English and Arabic) and multicultural (Indo-European languages vs. less culturally close languages) irony detection system. We employ both feature-based models and neural architectures using monolingual word re... | 6 |
2002.04181 | Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets | # Performance Comparison of Crowdworkers and NLP Tools onNamed-Entity Recognition and Sentiment Analysis of Political Tweets
## Abstract
We report results of a comparison of the accuracy of crowdworkers and seven NaturalLanguage Processing (NLP) toolkits in solving two important NLP tasks, named-entity recognition (N... | 6 |
2002.07306 | From English To Foreign Languages: Transferring Pre-trained Language Models | # From English To Foreign Languages: Transferring Pre-trained Language Models
## Abstract
Pre-trained models have demonstrated their effectiveness in many downstream natural language processing (NLP) tasks. The availability of multilingual pre-trained models enables zero-shot transfer of NLP tasks from high resource ... | 20 |
2002.11402 | Detecting Potential Topics In News Using BERT, CRF and Wikipedia | # Detecting Potential Topics In News Using BERT, CRF and Wikipedia
## Abstract
For a news content distribution platform like Dailyhunt, Named Entity Recognition is a pivotal task for building better user recommendation and notification algorithms. Apart from identifying names, locations, organisations from the news f... | 7 |
2003.03612 | Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text | # Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text
## Abstract
There is inherent information captured in the order in which we write words in a list. The orderings of binomials --- lists of two words separated by `and' or `or' --- has been studied for more than a century. These binom... | 20 |
2003.05377 | Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network | # Brazilian Lyrics-Based Music Genre Classification Using a BLSTM Network
## Abstract
Organize songs, albums, and artists in groups with shared similarity could be done with the help of genre labels. In this paper, we present a novel approach for automatic classifying musical genre in Brazilian music using only the s... | 9 |
2003.05995 | CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues | # CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues
## Abstract
Large corpora of task-based and open-domain conversational dialogues are hugely valuable in the field of data-driven dialogue systems. Crowdsourcing platforms, such as Amazon Mechanical Turk, have been an effective method for collecti... | 13 |
2003.06279 | Using word embeddings to improve the discriminability of co-occurrence text networks | # Using word embeddings to improve the discriminability of co-occurrence text networks
## Abstract
Word co-occurrence networks have been employed to analyze texts both in the practical and theoretical scenarios. Despite the relative success in several applications, traditional co-occurrence networks fail in establish... | 11 |
2003.07433 | LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment | # LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment
## Abstract
Veteran mental health is a significant national problem as large number of veterans are returning from the recent war in Iraq and continued military presence in Afghanistan. While significant existing ... | 16 |
2003.08370 | Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\`ub\'a | # Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yor\`ub\'a
## Abstract
The lack of labeled training data has limited the development of natural language processing tools, such as named entity recognition, for many languages spoken in developing countries.... | 9 |
2003.08385 | X-Stance: A Multilingual Multi-Target Dataset for Stance Detection | # X-Stance: A Multilingual Multi-Target Dataset for Stance Detection
## Abstract
We extract a large-scale stance detection dataset from comments written by candidates of elections in Switzerland. The dataset consists of German, French and Italian text, allowing for a cross-lingual evaluation of stance detection. It c... | 33 |
2003.12932 | User Generated Data: Achilles' heel of BERT | # User Generated Data: Achilles' heel of BERT
## Abstract
Pre-trained language models such as BERT are known to perform exceedingly well on various NLP tasks and have even established new State-Of-The-Art (SOTA) benchmarks for many of these tasks. Owing to its success on various tasks and benchmark datasets, industry... | 6 |
2003.13032 | Named Entities in Medical Case Reports: Corpus and Experiments | # Named Entities in Medical Case Reports: Corpus and Experiments
## Abstract
We present a new corpus comprising annotations of medical entities in case reports, originating from PubMed Central's open access library. In the case reports, we annotate cases, conditions, findings, factors and negation modifiers. Moreover... | 14 |
2004.01694 | A Set of Recommendations for Assessing Human-Machine Parity in Language Translation | # A Set of Recommendations for Assessing Human-Machine Parity in Language Translation
## Abstract
The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional human translation in a number of empirical investigations. We rea... | 25 |
2004.01894 | Evaluating Multimodal Representations on Visual Semantic Textual Similarity | # Evaluating Multimodal Representations on Visual Semantic Textual Similarity
## Abstract
The combination of visual and textual representations has produced excellent results in tasks such as image captioning and visual question answering, but the inference capabilities of multimodal representations are largely untes... | 18 |
2004.01980 | Hooks in the Headline: Learning to Generate Headlines with Controlled Styles | # Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
## Abstract
Current summarization systems only produce plain, factual headlines, but do not meet the practical needs of creating memorable titles to increase exposure. We propose a new task, Stylistic Headline Generation (SHG), to enrich t... | 37 |
2004.02083 | A Resource for Studying Chatino Verbal Morphology | # A Resource for Studying Chatino Verbal Morphology
## Abstract
We present the first resource focusing on the verbal inflectional morphology of San Juan Quiahije Chatino, a tonal mesoamerican language spoken in Mexico. We provide a collection of complete inflection tables of 198 lemmata, with morphological tags based... | 11 |
2004.02192 | Arabic Offensive Language on Twitter: Analysis and Experiments | # Arabic Offensive Language on Twitter: Analysis and Experiments
## Abstract
Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building effective Arabic offensive tweet detection. We introduce a method for bui... | 20 |
2004.02929 | An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines | # An Annotated Corpus of Emerging Anglicisms in Spanish Newspaper Headlines
## Abstract
The extraction of anglicisms (lexical borrowings from English) is relevant both for lexicographic purposes and for NLP downstream tasks. We introduce a corpus of European Spanish newspaper headlines annotated with anglicisms and a... | 13 |
2004.03034 | The Role of Pragmatic and Discourse Context in Determining Argument Impact | # The Role of Pragmatic and Discourse Context in Determining Argument Impact
## Abstract
Research in the social sciences and psychology has shown that the persuasiveness of an argument depends not only the language employed, but also on attributes of the source/communicator, the audience, and the appropriateness and ... | 15 |
2004.03685 | Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness? | # Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?
## Abstract
With the growing popularity of deep-learning based NLP models, comes a need for interpretable systems. But what is interpretability, and what constitutes a high-quality interpretation? In this opinion piece we ... | 18 |
2004.03744 | e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations | # e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations
## Abstract
The recently proposed SNLI-VE corpus for recognising visual-textual entailment is a large, real-world dataset for fine-grained multimodal reasoning. However, the automatic way in which SNLI-VE has been assembled (via c... | 25 |
2004.04315 | Large Arabic Twitter Dataset on COVID-19 | # Large Arabic Twitter Dataset on COVID-19
## Abstract
The 2019 coronavirus disease (COVID-19), emerged late December 2019 in China, is now rapidly spreading across the globe. At the time of writing this paper, the number of global confirmed cases has passed one million and half with over 75,000 fatalities. Many coun... | 5 |
2004.04721 | Translation Artifacts in Cross-lingual Transfer Learning | # Translation Artifacts in Cross-lingual Transfer Learning
## Abstract
Both human and machine translation play a central role in cross-lingual transfer learning: many multilingual datasets have been created through professional translation services, and using machine translation to translate either the test set or th... | 27 |
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