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20182023
most citedAthena: Constructing Dialogues Dynamically with Discourse Constraints

4 citations · 9 across the 9 of their papers we have counts for

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cs.CL2023

Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts

Geetanjali Rakshit, Jeffrey Flanigan

Figurative language is commonplace in natural language, and while making communication memorable and creative, can be difficult to understand. In this work, we investigate the robu…

cs.CL2023

Diverse Retrieval-Augmented In-Context Learning for Dialogue State Tracking

Brendan King, Jeffrey Flanigan

There has been significant interest in zero and few-shot learning for dialogue state tracking (DST) due to the high cost of collecting and annotating task-oriented dialogues. Recen…

cs.CL2023★ 1 cited

Dependency Dialogue Acts -- Annotation Scheme and Case Study

Jon Z. Cai, Brendan King, Margaret Perkoff +9

In this paper, we introduce Dependency Dialogue Acts (DDA), a novel framework for capturing the structure of speaker-intentions in multi-party dialogues. DDA combines and adapts fe…

cs.CL2022

Automatic Identification of Motivation for Code-Switching in Speech Transcripts

Ritu Belani, Jeffrey Flanigan

Code-switching, or switching between languages, occurs for many reasons and has important linguistic, sociological, and cultural implications. Multilingual speakers code-switch for…

cs.CL2022

Forming Trees with Treeformers

Nilay Patel, Jeffrey Flanigan

Human language is known to exhibit a nested, hierarchical structure, allowing us to form complex sentences out of smaller pieces. However, many state-of-the-art neural networks mod…

cs.CL2021

DocAMR: Multi-Sentence AMR Representation and Evaluation

Tahira Naseem, Austin Blodgett, Sadhana Kumaravel +7

Despite extensive research on parsing of English sentences into Abstraction Meaning Representation (AMR) graphs, which are compared to gold graphs via the Smatch metric, full-docum…

cs.CL2021★ 2 cited

ASQ: Automatically Generating Question-Answer Pairs using AMRs

Geetanjali Rakshit, Jeffrey Flanigan

We introduce ASQ, a tool to automatically mine questions and answers from a sentence using the Abstract Meaning Representation (AMR). Previous work has used question-answer pairs t…

cs.CL2020★ 4 cited

Athena: Constructing Dialogues Dynamically with Discourse Constraints

Vrindavan Harrison, Juraj Juraska, Wen Cui +11

This report describes Athena, a dialogue system for spoken conversation on popular topics and current events. We develop a flexible topic-agnostic approach to dialogue management t…

cs.CL2019★ 2 cited

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures

Sheshera Mysore, Zach Jensen, Edward Kim +6

Materials science literature contains millions of materials synthesis procedures described in unstructured natural language text. Large-scale analysis of these synthesis procedures…

cs.CL2018

Toward Abstractive Summarization Using Semantic Representations

Fei Liu, Jeffrey Flanigan, Sam Thomson +2

We present a novel abstractive summarization framework that draws on the recent development of a treebank for the Abstract Meaning Representation (AMR). In this framework, the sour…