Search Results for author: a

Found 89 papers, 6 papers with code

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

no code implementations4 Jan 2021 S. Zazubovich, V. Laguta, K. Kamada, a, Yoshikawa, K. Jurek, M. Nikl

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

Towards Visual Dialog for Radiology

no code implementations WS 2020 Olga Kovaleva, Chaitanya Shivade, Satyan Kashyap, a, Karina Kanjaria, Joy Wu, Deddeh Ballah, Adam Coy, Alex Karargyris, ros, Yufan Guo, David Beymer Beymer, Anna Rumshisky, V Mukherjee, ana Mukherjee

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.

Question Answering Visual Dialog +1

Multi-Label and Multilingual News Framing Analysis

no code implementations ACL 2020 Afra Feyza Aky{\"u}rek, Lei Guo, R Elanwar, a, Prakash Ishwar, Margrit Betke, Derry Tanti Wijaya

News framing refers to the practice in which aspects of specific issues are highlighted in the news to promote a particular interpretation.

Transfer Learning Translation

MorphAGram, Evaluation and Framework for Unsupervised Morphological Segmentation

no code implementations LREC 2020 Esk, Ramy er, Francesca Callejas, Elizabeth Nichols, Judith Klavans, Smar Muresan, a

Computational morphological segmentation has been an active research topic for decades as it is beneficial for many natural language processing tasks.

Searching Brazilian Twitter for Signs of Mental Health Issues

no code implementations LREC 2020 Wesley Santos, Am Funabashi, a, Iv Paraboni, r{\'e}

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.

text-classification Text Classification

Identifications of Speaker Ethnicity in South-East England: Multicultural London English as a Divisible Perceptual Variety

no code implementations LREC 2020 Am Cole, a

Countering this, participants found perceptual linguistic differences between speakers of all 3 ethnicities (80. 7{\%} accuracy).

An Annotated Dataset of Discourse Modes in Hindi Stories

no code implementations LREC 2020 Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Am Stent, a

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

no code implementations LREC 2020 Ramon Maldonado, S Harabagiu, a

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.

EEG Electroencephalogram (EEG)

Roll Call Vote Prediction with Knowledge Augmented Models

no code implementations CONLL 2019 Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Am Stent, a

The sources of knowledge we use are news text and Freebase, a manually curated knowledge base.

Unsupervised Morphological Segmentation for Low-Resource Polysynthetic Languages

no code implementations WS 2019 Esk, Ramy er, Judith Klavans, Smar Muresan, a

Polysynthetic languages pose a challenge for morphological analysis due to the root-morpheme complexity and to the word class {``}squish{''}.

Morphological Analysis

Pay ``Attention'' to your Context when Classifying Abusive Language

1 code implementation WS 2019 Tuhin Chakrabarty, Kilol Gupta, Smar Muresan, a

The goal of any social media platform is to facilitate healthy and meaningful interactions among its users.

Abuse Detection

Rubric Reliability and Annotation of Content and Argument in Source-Based Argument Essays

1 code implementation WS 2019 Yanjun Gao, Alex Driban, Brennan Xavier McManus, Elena Musi, Patricia Davies, Smar Muresan, a, Rebecca J. Passonneau

We present a unique dataset of student source-based argument essays to facilitate research on the relations between content, argumentation skills, and assessment.

Modeling Financial Analysts' Decision Making via the Pragmatics and Semantics of Earnings Calls

no code implementations ACL 2019 Katherine Keith, Am Stent, a

Every fiscal quarter, companies hold earnings calls in which company executives respond to questions from analysts.

Decision Making

Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts

no code implementations ACL 2019 Alakan Vempala, a, Daniel Preo{\c{t}}iuc-Pietro

We show that by combining the text and image information, we can build a machine learning approach that accurately distinguishes between the relationship types.

Image Captioning

ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning

no code implementations SEMEVAL 2019 Tuhin Chakrabarty, Smar Muresan, a

Community Question Answering forums are very popular nowadays, as they represent effective means for communities to share information around particular topics.

Community Question Answering Fact Checking +2

Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.

1 code implementation WS 2018 Tuhin Chakrabarty, Tariq Alhindi, Smar Muresan, a

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.

Natural Language Inference Retrieval

Lexical Networks in !Xung

no code implementations WS 2018 Syed-Amad Hussain, Micha Elsner, Am Miller, a

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

no code implementations WS 2018 Esk, Ramy er, Owen Rambow, Smar Muresan, a

Morphological segmentation is beneficial for several natural language processing tasks dealing with large vocabularies.

Machine Translation Speech Recognition

`Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions

no code implementations ACL 2018 Olivia Winn, Smar Muresan, a

We propose a novel paradigm of grounding comparative adjectives within the realm of color descriptions.

Object Recognition

HarriGT: A Tool for Linking News to Science

no code implementations ACL 2018 James Ravenscroft, Am Clare, a, Maria Liakata

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.

Document Classification Entity Extraction using GAN +2

From dictations to clinical reports using machine translation

no code implementations NAACL 2018 Gregory Finley, Wael Salloum, Najmeh Sadoughi, Erik Edwards, Am Robinson, a, Nico Axtmann, Michael Brenndoerfer, Mark Miller, David Suendermann-Oeft

A typical workflow to document clinical encounters entails dictating a summary, running speech recognition, and post-processing the resulting text into a formatted letter.

Machine Translation Punctuation Restoration +3

\#MeToo Alexa: How Conversational Systems Respond to Sexual Harassment

no code implementations WS 2018 Am Cercas Curry, a, Verena Rieser

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.

An automated medical scribe for documenting clinical encounters

no code implementations NAACL 2018 Gregory Finley, Erik Edwards, Am Robinson, a, Michael Brenndoerfer, Najmeh Sadoughi, James Fone, Nico Axtmann, Mark Miller, David Suendermann-Oeft

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.

speaker-diarization Speaker Diarization +3

FinSentiA: Sentiment Analysis in English Financial Microblogs

no code implementations JEPTALNRECITAL 2018 Thomas Gaillat, Ann Sousa, a, Manel Zarrouk, Brian Davis

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.

Sentiment Analysis

Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum

no code implementations WS 2017 Christopher Hidey, Elena Musi, Alyssa Hwang, Smar Muresan, a, Kathy Mckeown

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).

Argument Mining

TopoText: Interactive Digital Mapping of Literary Text

no code implementations COLING 2016 R El Khatib, a, Julia El Zini, David Wrisley, Mohamad Jaber, Shady Elbassuoni

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.

Part-Of-Speech Tagging

Embedding Open-domain Common-sense Knowledge from Text

no code implementations LREC 2016 Travis Goodwin, S Harabagiu, a

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.

Common Sense Reasoning Open Information Extraction

Extractive Summarization under Strict Length Constraints

no code implementations LREC 2016 Yashar Mehdad, Am Stent, a, Kapil Thadani, Dragomir Radev, Youssef Billawala, Karolina Buchner

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).

Extractive Summarization

Clinical Data-Driven Probabilistic Graph Processing

no code implementations LREC 2014 Travis Goodwin, S Harabagiu, a

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.

Information Retrieval

VOLIP: a corpus of spoken Italian and a virtuous example of reuse of linguistic resources

no code implementations LREC 2014 Iol Alfano, a, Francesco Cutugno, Aurelio De Rosa, Claudio Iacobini, Renata Savy, Miriam Voghera

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.

Creating HAVIC: Heterogeneous Audio Visual Internet Collection

no code implementations LREC 2012 Stephanie Strassel, Am Morris, a, Jonathan Fiscus, Christopher Caruso, Haejoong Lee, Paul Over, James Fiumara, Barbara Shaw, Brian Antonishek, Martial Michel

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.

Event Detection

Prosomarker: a prosodic analysis tool based on optimal pitch stylization and automatic syllabi fication

no code implementations LREC 2012 Antonio Origlia, Iol Alfano, a

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.

Boundary Detection Speech Recognition

It’s Not You, it’s Me: Detecting Flirting and its Misperception in Speed-Dates

no code implementations EMNLP09 2009 a

Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding.

Dialogue Understanding

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