Search Results for author: Smar Muresan

Found 26 papers, 5 papers with code

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.

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.

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

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

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

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

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