12 citations · 60 across the 28 of their papers we have counts for
32 papers
Worth Their Weights? Evaluating Generative Models for Discourse Parsing
Luke Gessler, Amir Zeldes
Rhetorical Structure Theory (RST) parsing has historically been dominated by discriminative models based on pretrained encoder-only language models. The recent availability of high…
UCxn: Typologically Informed Annotation of Constructions Atop Universal Dependencies
Leonie Weissweiler, Nina Böbel, Kirian Guiller +11
The Universal Dependencies (UD) project has created an invaluable collection of treebanks with contributions in over 140 languages. However, the UD annotations do not tell the full…
eRST: A Signaled Graph Theory of Discourse Relations and Organization
Amir Zeldes, Tatsuya Aoyama, Yang Janet Liu +3
In this article we present Enhanced Rhetorical Structure Theory (eRST), a new theoretical framework for computational discourse analysis, based on an expansion of Rhetorical Struct…
Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization
Yilun Zhu, Siyao Peng, Sameer Pradhan +1
Previous attempts to incorporate a mention detection step into end-to-end neural coreference resolution for English have been hampered by the lack of singleton mention span data as…
What's Hard in English RST Parsing? Predictive Models for Error Analysis
Yang Janet Liu, Tatsuya Aoyama, Amir Zeldes
Despite recent advances in Natural Language Processing (NLP), hierarchical discourse parsing in the framework of Rhetorical Structure Theory remains challenging, and our understand…
GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization
Yang Janet Liu, Amir Zeldes
Automatic summarization with pre-trained language models has led to impressively fluent results, but is prone to 'hallucinations', low performance on non-news genres, and outputs w…
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
Tatsuya Aoyama, Shabnam Behzad, Luke Gessler +6
We present GENTLE, a new mixed-genre English challenge corpus totaling 17K tokens and consisting of 8 unusual text types for out-of domain evaluation: dictionary entries, esports c…
Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity
Yang Janet Liu, Amir Zeldes
Recent advances in discourse parsing performance create the impression that, as in other NLP tasks, performance for high-resource languages such as English is finally becoming reli…
Are UD Treebanks Getting More Consistent? A Report Card for English UD
Amir Zeldes, Nathan Schneider
Recent efforts to consolidate guidelines and treebanks in the Universal Dependencies project raise the expectation that joint training and dataset comparison is increasingly possib…
MicroBERT: Effective Training of Low-resource Monolingual BERTs through Parameter Reduction and Multitask Learning
Luke Gessler, Amir Zeldes
Transformer language models (TLMs) are critical for most NLP tasks, but they are difficult to create for low-resource languages because of how much pretraining data they require. I…
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
Shabnam Behzad, Amir Zeldes, Nathan Schneider
In this paper, we present strong baselines for the task of Feedback Comment Generation for Writing Learning. Given a sentence and an error span, the task is to generate a feedback…
Chinese Discourse Annotation Reference Manual
Siyao Peng, Yang Janet Liu, Amir Zeldes
This document provides extensive guidelines and examples for Rhetorical Structure Theory (RST) annotation in Mandarin Chinese. The guideline is divided into three sections. We firs…
GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing
Siyao Peng, Yang Janet Liu, Amir Zeldes
A lack of large-scale human-annotated data has hampered the hierarchical discourse parsing of Chinese. In this paper, we present GCDT, the largest hierarchical discourse treebank f…
A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing
Amir Zeldes, Nick Howell, Noam Ordan +1
Foundational Hebrew NLP tasks such as segmentation, tagging and parsing, have relied to date on various versions of the Hebrew Treebank (HTB, Sima'an et al. 2001). However, the dat…
ELQA: A Corpus of Metalinguistic Questions and Answers about English
Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider +1
We present ELQA, a corpus of questions and answers in and about the English language. Collected from two online forums, the >70k questions (from English learners and others) cover…
Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes
Amir Zeldes
Current work on automatic coreference resolution has focused on the OntoNotes benchmark dataset, due to both its size and consistency. However many aspects of the OntoNotes annotat…
Anatomy of OntoGUM--Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms
Yilun Zhu, Sameer Pradhan, Amir Zeldes
SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark. However lack of comparable data following the same scheme for more genres makes it d…
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
Luke Gessler, Shabnam Behzad, Yang Janet Liu +3
This paper describes our submission to the DISRPT2021 Shared Task on Discourse Unit Segmentation, Connective Detection, and Relation Classification. Our system, called DisCoDisCo,…
WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres
Jessica Lin, Amir Zeldes
Previous work on Entity Linking has focused on resources targeting non-nested proper named entity mentions, often in data from Wikipedia, i.e. Wikification. In this paper, we prese…
Mischievous Nominal Constructions in Universal Dependencies
Nathan Schneider, Amir Zeldes
While the highly multilingual Universal Dependencies (UD) project provides extensive guidelines for clausal structure as well as structure within canonical nominal phrases, a stand…
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres
Yilun Zhu, Sameer Pradhan, Amir Zeldes
SOTA coreference resolution produces increasingly impressive scores on the OntoNotes benchmark. However lack of comparable data following the same scheme for more genres makes it d…
Exhaustive Entity Recognition for Coptic: Challenges and Solutions
Amir Zeldes, Lance Martin, Sichang Tu
Entity recognition provides semantic access to ancient materials in the Digital Humanities: itexposes people and places of interest in texts that cannot be read exhaustively, facil…
Treebanking User-Generated Content: a UD Based Overview of Guidelines, Corpora and Unified Recommendations
Manuela Sanguinetti, Lauren Cassidy, Cristina Bosco +7
This article presents a discussion on the main linguistic phenomena which cause difficulties in the analysis of user-generated texts found on the web and in social media, and propo…
AMALGUM -- A Free, Balanced, Multilayer English Web Corpus
Luke Gessler, Siyao Peng, Yang Liu +3
We present a freely available, genre-balanced English web corpus totaling 4M tokens and featuring a large number of high-quality automatic annotation layers, including dependency t…