99 citations · 138 across the 19 of their papers we have counts for
24 papers
LP-Eval: Rubric and Dataset for Measuring the Quality of Legal Proposition Generation
Shanshan Xu, Johan Lindholm, Amogh Raina +2
Legal proposition generation is central to legal reasoning and doctrinal scholarship, yet remain under-examined in Legal NLP. This paper investigates the automatic generation and e…
Rethinking Relation Classification with Graph Meaning Representations
Li Zhou, Wenyu Chen, Dingyi Zeng +2
In the field of natural language understanding, the intersection of neural models and graph meaning representations (GMRs) remains a compelling area of research. Despite the growin…
Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features
Li Zhou, Antonia Karamolegkou, Wenyu Chen +1
The increasing ubiquity of language technology necessitates a shift towards considering cultural diversity in the machine learning realm, particularly for subjective tasks that rel…
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking
Yong Cao, Ruixue Ding, Boli Chen +5
Chinese geographic re-ranking task aims to find the most relevant addresses among retrieved candidates, which is crucial for location-related services such as navigation maps. Unli…
On Evaluating Multilingual Compositional Generalization with Translated Datasets
Zi Wang, Daniel Hershcovich
Compositional generalization allows efficient learning and human-like inductive biases. Since most research investigating compositional generalization in NLP is done on English, im…
Pay More Attention to Relation Exploration for Knowledge Base Question Answering
Yong Cao, Xianzhi Li, Huiwen Liu +5
Knowledge base question answering (KBQA) is a challenging task that aims to retrieve correct answers from large-scale knowledge bases. Existing attempts primarily focus on entity r…
Cross-Cultural Transfer Learning for Chinese Offensive Language Detection
Li Zhou, Laura Cabello, Yong Cao +1
Detecting offensive language is a challenging task. Generalizing across different cultures and languages becomes even more challenging: besides lexical, syntactic and semantic diff…
Compositional Generalization in Multilingual Semantic Parsing over Wikidata
Ruixiang Cui, Rahul Aralikatte, Heather Lent +1
Semantic parsing (SP) allows humans to leverage vast knowledge resources through natural interaction. However, parsers are mostly designed for and evaluated on English resources, s…
Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas
Tom Hope, Ronen Tamari, Hyeonsu Kang +4
Large repositories of products, patents and scientific papers offer an opportunity for building systems that scour millions of ideas and help users discover inspirations. However,…
Does injecting linguistic structure into language models lead to better alignment with brain recordings?
Mostafa Abdou, Ana Valeria Gonzalez, Mariya Toneva +2
Neuroscientists evaluate deep neural networks for natural language processing as possible candidate models for how language is processed in the brain. These models are often traine…
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics
Daniel Hershcovich, Nathan Schneider, Dotan Dvir +3
Building robust natural language understanding systems will require a clear characterization of whether and how various linguistic meaning representations complement each other. To…
HUJI-KU at MRP~2020: Two Transition-based Neural Parsers
Ofir Arviv, Ruixiang Cui, Daniel Hershcovich
This paper describes the HUJI-KU system submission to the shared task on Cross-Framework Meaning Representation Parsing (MRP) at the 2020 Conference for Computational Language Lear…
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
Rahul Aralikatte, Mostafa Abdou, Heather Lent +2
Coreference resolution and semantic role labeling are NLP tasks that capture different aspects of semantics, indicating respectively, which expressions refer to the same entity, an…
Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding
Daniel Hershcovich, Miryam de Lhoneux, Artur Kulmizev +2
We present Køpsala, the Copenhagen-Uppsala system for the Enhanced Universal Dependencies Shared Task at IWPT 2020. Our system is a pipeline consisting of off-the-shelf models for…
Refining Implicit Argument Annotation for UCCA
Ruixiang Cui, Daniel Hershcovich
Predicate-argument structure analysis is a central component in meaning representations of text. The fact that some arguments are not explicitly mentioned in a sentence gives rise…
Lexical Semantic Recognition
Nelson F. Liu, Daniel Hershcovich, Michael Kranzlein +1
In lexical semantics, full-sentence segmentation and segment labeling of various phenomena are generally treated separately, despite their interdependence. We hypothesize that a un…
Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez +5
Unresolved coreference is a bottleneck for relation extraction, and high-quality coreference resolvers may produce an output that makes it a lot easier to extract knowledge triples…
Argument Invention from First Principles
Yonatan Bilu, Ariel Gera, Daniel Hershcovich +6
Competitive debaters often find themselves facing a challenging task -- how to debate a topic they know very little about, with only minutes to prepare, and without access to books…
The Language of Legal and Illegal Activity on the Darknet
Leshem Choshen, Dan Eldad, Daniel Hershcovich +2
The non-indexed parts of the Internet (the Darknet) have become a haven for both legal and illegal anonymous activity. Given the magnitude of these networks, scalably monitoring th…
Syntactic Interchangeability in Word Embedding Models
Daniel Hershcovich, Assaf Toledo, Alon Halfon +1
Nearest neighbors in word embedding models are commonly observed to be semantically similar, but the relations between them can vary greatly. We investigate the extent to which wor…
SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA
Daniel Hershcovich, Zohar Aizenbud, Leshem Choshen +3
We present the SemEval 2019 shared task on UCCA parsing in English, German and French, and discuss the participating systems and results. UCCA is a cross-linguistically applicable…
Universal Dependency Parsing with a General Transition-Based DAG Parser
Daniel Hershcovich, Omri Abend, Ari Rappoport
This paper presents our experiments with applying TUPA to the CoNLL 2018 UD shared task. TUPA is a general neural transition-based DAG parser, which we use to present the first exp…
Multitask Parsing Across Semantic Representations
Daniel Hershcovich, Omri Abend, Ari Rappoport
The ability to consolidate information of different types is at the core of intelligence, and has tremendous practical value in allowing learning for one task to benefit from gener…
A Transition-Based Directed Acyclic Graph Parser for UCCA
Daniel Hershcovich, Omri Abend, Ari Rappoport
We present the first parser for UCCA, a cross-linguistically applicable framework for semantic representation, which builds on extensive typological work and supports rapid annotat…