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Found 89 papers, 6 papers with code
Where is Your Evidence: Improving Fact-checking by Justification Modeling
Fact-checking is a journalistic practice that compares a claim made publicly against trusted sources of facts.
Pay ``Attention'' to your Context when Classifying Abusive Language
The goal of any social media platform is to facilitate healthy and meaningful interactions among its users.
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
Our team finished 6th out of 24 teams on the leader-board based on the preliminary results with a FEVER score of 49. 06 on the blind test set compared to 27. 45 of the baseline system.
Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays
We present a unique dataset of student source-based argument essays to facilitate research on the relations between content, argumentation skills, and assessment.
`Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions
We propose a novel paradigm of grounding comparative adjectives within the realm of color descriptions.
HarriGT: A Tool for Linking News to Science
Being able to reliably link scientific works to the newspaper articles that discuss them could provide a breakthrough in the way we rationalise and measure the impact of science on our society.
Determining Whether and When People Participate in the Events They Tweet About
This paper describes an approach to determine whether people participate in the events they tweet about.
Determining Event Durations: Models and Error Analysis
This paper presents models to predict event durations.
From dictations to clinical reports using machine translation
A typical workflow to document clinical encounters entails dictating a summary, running speech recognition, and post-processing the resulting text into a formatted letter.
An automated medical scribe for documenting clinical encounters
A medical scribe is a clinical professional who charts patient{--}physician encounters in real time, relieving physicians of most of their administrative burden and substantially increasing productivity and job satisfaction.
Lexical Networks in !Xung
We investigate the lexical network properties of the large phoneme inventory Southern African language Mangetti Dune ! Xung as it compares to English and other commonly-studied languages.
Automatically Tailoring Unsupervised Morphological Segmentation to the Language
Morphological segmentation is beneficial for several natural language processing tasks dealing with large vocabularies.
Words Worth: Verbal Content and Hirability Impressions in YouTube Video Resumes
Automatic hirability prediction from video resumes is gaining increasing attention in both psychology and computing.
Inherent Biases of Recurrent Neural Networks for Phonological Assimilation and Dissimilation
A recurrent neural network model of phonological pattern learning is proposed.
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum
Argumentative text has been analyzed both theoretically and computationally in terms of argumentative structure that consists of argument components (e. g., claims, premises) and their argumentative relations (e. g., support, attack).
TopoText: Interactive Digital Mapping of Literary Text
TopoText calculates the number of times a place was mentioned in the text, which is then reflected on the map allowing the end-user to grasp the importance of the different places within the text.
Clinical Data-Driven Probabilistic Graph Processing
To perform inference on the graphical model, we describe a technique of smoothing the conditional likelihood of medical concepts by their semantically-similar belief values.
VOLIP: a corpus of spoken Italian and a virtuous example of reuse of linguistic resources
The corpus VoLIP (The Voice of LIP) is an Italian speech resource which associates the audio signals to the orthographic transcriptions of the LIP Corpus.
Prosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication
Prosodic research in recent years has been supported by a number of automatic analysis tools aimed at simplifying the work that is requested to study intonation.
Creating HAVIC: Heterogeneous Audio Visual Internet Collection
Linguistic Data Consortium and the National Institute of Standards and Technology are collaborating to create a large, heterogeneous annotated multimodal corpus to support research in multimodal event detection and related technologies.
Columbia at SemEval-2019 Task 7: Multi-task Learning for Stance Classification and Rumour Verification
The paper presents Columbia team{'}s participation in the SemEval 2019 Shared Task 7: RumourEval 2019.
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning
Community Question Answering forums are very popular nowadays, as they represent effective means for communities to share information around particular topics.
\#MeToo Alexa: How Conversational Systems Respond to Sexual Harassment
In this article, we establish how current state-of-the-art conversational systems react to inappropriate requests, such as bullying and sexual harassment on the part of the user, by collecting and analysing the novel {\#}MeTooAlexa corpus.
Applying Core Scientific Concepts to Context-Based Citation Recommendation
The task of recommending relevant scientific literature for a draft academic paper has recently received significant interest.
Extractive Summarization under Strict Length Constraints
In this paper we report a comparison of various techniques for single-document extractive summarization under strict length budgets, which is a common commercial use case (e. g. summarization of news articles by news aggregators).
Annotating Temporally-Anchored Spatial Knowledge on Top of OntoNotes Semantic Roles
First, we manipulate semantic roles to automatically generate potential additional spatial knowledge.
Embedding Open-domain Common-sense Knowledge from Text
Building a knowledge graph for representing common-sense knowledge in which concepts discerned from noun phrases are cast as vertices and lexicalized relations are cast as edges leads to learning the embeddings of common-sense knowledge accounting for semantic compositionality as well as implied knowledge.
Modeling Financial Analysts' Decision Making via the Pragmatics and Semantics of Earnings Calls
Every fiscal quarter, companies hold earnings calls in which company executives respond to questions from analysts.
Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts
We show that by combining the text and image information, we can build a machine learning approach that accurately distinguishes between the relationship types.
Unsupervised Morphological Segmentation for Low-Resource Polysynthetic Languages
Polysynthetic languages pose a challenge for morphological analysis due to the root-morpheme complexity and to the word class {``}squish{''}.
Roll Call Vote Prediction with Knowledge Augmented Models
The sources of knowledge we use are news text and Freebase, a manually curated knowledge base.
It’s Not You, it’s Me: Detecting Flirting and its Misperception in Speed-Dates
Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding.
Identifications of Speaker Ethnicity in South-East England: Multicultural London English as a Divisible Perceptual Variety
Countering this, participants found perceptual linguistic differences between speakers of all 3 ethnicities (80. 7{\%} accuracy).
From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data
This paper describes the workflow and architecture adopted by a linguistic research project.
An Annotated Dataset of Discourse Modes in Hindi Stories
In this paper, we present a new corpus consisting of sentences from Hindi short stories annotated for five different discourse modes argumentative, narrative, descriptive, dialogic and informative.
The Language of Brain Signals: Natural Language Processing of Electroencephalography Reports
By exemplifying a self-attention joint-learning to predict similar annotations in the EEG report corpus, we discuss the promising results, hoping that our effort will inform the design of novel knowledge capture techniques that will include the language of brain signals.
Searching Brazilian Twitter for Signs of Mental Health Issues
Depression and related mental health issues are often reflected in the language employed by the individuals who suffer from these conditions and, accordingly, research in Natural Language Processing (NLP) and related fields have developed an increasing number of studies devoted to their recognition in social media text.
MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation
Computational morphological segmentation has been an active research topic for decades as it is beneficial for many natural language processing tasks.
R\^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
We propose an unsupervised approach for sarcasm generation based on a non-sarcastic input sentence.
Multi-Label and Multilingual News Framing Analysis
News framing refers to the practice in which aspects of specific issues are highlighted in the news to promote a particular interpretation.
Towards Visual Dialog for Radiology
Using MIMIC-CXR, an openly available database of chest X-ray images, we construct both a synthetic and a real-world dataset and provide baseline scores achieved by state-of-the-art models.
An Evaluation of Subword Segmentation Strategies for Neural Machine Translation of Morphologically Rich Languages
Byte-Pair Encoding (BPE) (Sennrich et al., 2016) has become a standard pre-processing step when building neural machine translation systems.
FinSentiA: Sentiment Analysis in English Financial Microblogs
FinSentiA: Sentiment Analysis in English Financial Microblogs The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English.
Un prototype en ligne pour la pr\'ediction du niveau de comp\'etence en anglais des productions \'ecrites (A prototype for web-based prediction of English proficiency levels in writings)
Cet article d{\'e}crit un prototype ax{\'e} sur la pr{\'e}diction du niveau de comp{\'e}tence des apprenants de l{'}anglais.
Effect of W and Mo co-doping on the photo- and thermally stimulated luminescence and defects creation processes in Gd3(Ga,Al)5O12:Ce crystals
Photo- and thermally stimulated luminescence characteristics of Gd3(Ga, Al)5O12:Ce single crystals co-doped with W and Mo are investigated in the 85 - 510 K temperature range and compared with the corresponding characteristics of the undoped and Ce3+ - doped Gd3(Ga, Al)5O12 single crystals of similar composition.
Materials Science
