Search Results for author: Joel Tetreault

Found 51 papers, 19 papers with code

A Novel Framework for Detecting Important Subevents from Crisis Events via Dynamic Semantic Graphs

no code implementations WNUT (ACL) 2021 Evangelia Spiliopoulou, Tanay Kumar Saha, Joel Tetreault, Alejandro Jaimes

Furthermore, we show that our approach significantly outperforms event detection baselines, highlighting the importance of aggregating information across tweets for our task.

Disaster Response Event Detection

Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer

1 code implementation EMNLP 2021 Eleftheria Briakou, Sweta Agrawal, Joel Tetreault, Marine Carpuat

While the field of style transfer (ST) has been growing rapidly, it has been hampered by a lack of standardized practices for automatic evaluation.

Style Transfer

Journalistic Guidelines Aware News Image Captioning

1 code implementation EMNLP 2021 Xuewen Yang, Svebor Karaman, Joel Tetreault, Alex Jaimes

The task of news article image captioning aims to generate descriptive and informative captions for news article images.

Image Captioning

A Review of Human Evaluation for Style Transfer

1 code implementation ACL (GEM) 2021 Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel Tetreault, Marine Carpuat

However, in style transfer papers, we find that protocols for human evaluations are often underspecified and not standardized, which hampers the reproducibility of research in this field and progress toward better human and automatic evaluation methods.

Style Transfer

Ol\'a, Bonjour, Salve! XFORMAL: A Benchmark for Multilingual Formality Style Transfer

no code implementations NAACL 2021 Eleftheria Briakou, Di Lu, Ke Zhang, Joel Tetreault

We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian.

Style Transfer

GTN-ED: Event Detection Using Graph Transformer Networks

no code implementations NAACL (TextGraphs) 2021 Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha, Di Lu, Joel Tetreault, Alejandro Jaimes

Recent works show that the graph structure of sentences, generated from dependency parsers, has potential for improving event detection.

Event Detection

XFORMAL: A Benchmark for Multilingual Formality Style Transfer

1 code implementation8 Apr 2021 Eleftheria Briakou, Di Lu, Ke Zhang, Joel Tetreault

We take the first step towards multilingual style transfer by creating and releasing XFORMAL, a benchmark of multiple formal reformulations of informal text in Brazilian Portuguese, French, and Italian.

Style Transfer

The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation

no code implementations COLING 2020 Yova Kementchedjhieva, Di Lu, Joel Tetreault

News articles, image captions, product reviews and many other texts mention people and organizations whose name recognition could vary for different audiences.

Image Captioning Text Generation

Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment

1 code implementation COLING (ArgMining) 2020 Lily Ng, Anne Lauscher, Joel Tetreault, Courtney Napoles

Computational models of argument quality (AQ) have focused primarily on assessing the overall quality or just one specific characteristic of an argument, such as its convincingness or its clarity.

Clustering of Social Media Messages for Humanitarian Aid Response during Crisis

1 code implementation23 Jul 2020 Swati Padhee, Tanay Kumar Saha, Joel Tetreault, Alejandro Jaimes

Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events.

Humanitarian Informativeness

Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1

no code implementations WS 2019 Maria Nadejde, Joel Tetreault

Grammar error correction (GEC) systems have become ubiquitous in a variety of software applications, and have started to approach human-level performance for some datasets.

Grammatical Error Correction

Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing

1 code implementation COLING 2020 Anne Lauscher, Lily Ng, Courtney Napoles, Joel Tetreault

Though preceding work in computational argument quality (AQ) mostly focuses on assessing overall AQ, researchers agree that writers would benefit from feedback targeting individual dimensions of argumentation theory.

Multimodal Categorization of Crisis Events in Social Media

1 code implementation CVPR 2020 Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel Tetreault, Alejandro Jaimes

Recent developments in image classification and natural language processing, coupled with the rapid growth in social media usage, have enabled fundamental advances in detecting breaking events around the world in real-time.

Event Detection Image Classification

The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction

no code implementations WS 2019 Phu Mon Htut, Joel Tetreault

In recent years, sequence-to-sequence models have been very effective for end-to-end grammatical error correction (GEC).

Grammatical Error Correction

Dialogue Act Classification with Context-Aware Self-Attention

1 code implementation NAACL 2019 Vipul Raheja, Joel Tetreault

Recent work in Dialogue Act classification has treated the task as a sequence labeling problem using hierarchical deep neural networks.

Classification Dialogue Act Classification +2

Enabling Robust Grammatical Error Correction in New Domains: Data Sets, Metrics, and Analyses

no code implementations TACL 2019 Courtney Napoles, Maria N{\u{a}}dejde, Joel Tetreault

Until now, grammatical error correction (GEC) has been primarily evaluated on text written by non-native English speakers, with a focus on student essays.

Grammatical Error Correction

GEC into the future: Where are we going and how do we get there?

no code implementations WS 2017 Keisuke Sakaguchi, Courtney Napoles, Joel Tetreault

The field of grammatical error correction (GEC) has made tremendous bounds in the last ten years, but new questions and obstacles are revealing themselves.

Grammatical Error Correction Machine Translation

Finding Good Conversations Online: The Yahoo News Annotated Comments Corpus

1 code implementation WS 2017 Courtney Napoles, Joel Tetreault, Aasish Pappu, Enrica Rosato, Brian Provenzale

This work presents a dataset and annotation scheme for the new task of identifying {``}good{''} conversations that occur online, which we call ERICs: Engaging, Respectful, and/or Informative Conversations.

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

1 code implementation EACL 2017 Courtney Napoles, Keisuke Sakaguchi, Joel Tetreault

We present a new parallel corpus, JHU FLuency-Extended GUG corpus (JFLEG) for developing and evaluating grammatical error correction (GEC).

Grammatical Error Correction

There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction

1 code implementation EMNLP 2016 Courtney Napoles, Keisuke Sakaguchi, Joel Tetreault

We show that reference-less grammaticality metrics correlate very strongly with human judgments and are competitive with the leading reference-based evaluation metrics.

Grammatical Error Correction

Detecting Sarcasm in Multimodal Social Platforms

no code implementations8 Aug 2016 Rossano Schifanella, Paloma de Juan, Joel Tetreault, Liangliang Cao

Sarcasm is a peculiar form of sentiment expression, where the surface sentiment differs from the implied sentiment.

GLEU Without Tuning

1 code implementation9 May 2016 Courtney Napoles, Keisuke Sakaguchi, Matt Post, Joel Tetreault

The GLEU metric was proposed for evaluating grammatical error corrections using n-gram overlap with a set of reference sentences, as opposed to precision/recall of specific annotated errors (Napoles et al., 2015).

TGIF: A New Dataset and Benchmark on Animated GIF Description

1 code implementation CVPR 2016 Yuncheng Li, Yale Song, Liangliang Cao, Joel Tetreault, Larry Goldberg, Alejandro Jaimes, Jiebo Luo

The motivation for this work is to develop a testbed for image sequence description systems, where the task is to generate natural language descriptions for animated GIFs or video clips.

Image Captioning Machine Translation +3

Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality

1 code implementation TACL 2016 Keisuke Sakaguchi, Courtney Napoles, Matt Post, Joel Tetreault

The field of grammatical error correction (GEC) has grown substantially in recent years, with research directed at both evaluation metrics and improved system performance against those metrics.

Grammatical Error Correction

Yara Parser: A Fast and Accurate Dependency Parser

2 code implementations23 Mar 2015 Mohammad Sadegh Rasooli, Joel Tetreault

At its fastest, Yara can parse about 4000 sentences per second when in greedy mode (1 beam).

Dependency Parsing Information Retrieval +2

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