Daniel Hershcovich

research

∙ 09/04/2023

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking

Chinese geographic re-ranking task aims to find the most relevant addres...

0 Yong Cao, et al. ∙

research

∙ 06/20/2023

On Evaluating Multilingual Compositional Generalization with Translated Datasets

Compositional generalization allows efficient learning and human-like in...

0 Zi Wang, et al. ∙

research

∙ 05/31/2023

What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?

Humans can effortlessly understand the coordinate structure of sentences...

0 Ruixiang Cui, et al. ∙

research

∙ 05/15/2023

What's the Meaning of Superhuman Performance in Today's NLU?

In the last five years, there has been a significant focus in Natural La...

0 Simone Tedeschi, et al. ∙

research

∙ 03/31/2023

Cross-Cultural Transfer Learning for Chinese Offensive Language Detection

Detecting offensive language is a challenging task. Generalizing across ...

0 Li Zhou, et al. ∙

research

∙ 03/30/2023

Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

The recent release of ChatGPT has garnered widespread recognition for it...

1 Yong Cao, et al. ∙

research

∙ 02/20/2023

A Two-Sided Discussion of Preregistration of NLP Research

Van Miltenburg et al. (2021) suggest NLP research should adopt preregist...

0 Anders Søgaard, et al. ∙

research

∙ 05/10/2022

Towards Climate Awareness in NLP Research

The climate impact of AI, and NLP research in particular, has become a s...

0 Daniel Hershcovich, et al. ∙

research

∙ 04/22/2022

Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks

Logical approaches to representing language have developed and evaluated...

0 Ruixiang Cui, et al. ∙

research

∙ 03/18/2022

Challenges and Strategies in Cross-Cultural NLP

Various efforts in the Natural Language Processing (NLP) community have ...

12 Daniel Hershcovich, et al. ∙

research

∙ 09/13/2021

Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

Pretrained language models have been shown to encode relational informat...

0 Mostafa Abdou, et al. ∙

research

∙ 08/07/2021

Multilingual Compositional Wikidata Questions

Semantic parsing allows humans to leverage vast knowledge resources thro...

0 Ruixiang Cui, et al. ∙

research

∙ 06/04/2021

Great Service! Fine-grained Parsing of Implicit Arguments

Broad-coverage meaning representations in NLP mostly focus on explicitly...

0 Ruixiang Cui, et al. ∙

research

∙ 02/19/2021

Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas

Web-scale repositories of products, patents and scientific papers offer ...

0 Tom Hope, et al. ∙

research

∙ 01/29/2021

Does injecting linguistic structure into language models lead to better alignment with brain recordings?

Neuroscientists evaluate deep neural networks for natural language proce...

24 Mostafa Abdou, et al. ∙

research

∙ 11/02/2020

Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics

Building robust natural language understanding systems will require a cl...

0 Daniel Hershcovich, et al. ∙

research

∙ 10/12/2020

HUJI-KU at MRP 2020: Two Transition-based Neural Parsers

This paper describes the HUJI-KU system submission to the shared task on...

0 Ofir Arviv, et al. ∙

research

∙ 10/12/2020

Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards

Coreference resolution and semantic role labeling are NLP tasks that cap...

0 Rahul Aralikatte, et al. ∙

research

∙ 05/26/2020

Refining Implicit Argument Annotation For UCCA

Few resources represent implicit roles for natural language understandin...

0 Ruixiang Cui, et al. ∙

research

∙ 05/25/2020

Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding

We present Køpsala, the Copenhagen-Uppsala system for the Enhanced Unive...

0 Daniel Hershcovich, et al. ∙

research

∙ 04/30/2020

Lexical Semantic Recognition

Segmentation and (segment) labeling are generally treated separately in ...

0 Nelson F. Liu, et al. ∙

research

∙ 09/05/2019

Rewarding Coreference Resolvers for Being Consistent with World Knowledge

Unresolved coreference is a bottleneck for relation extraction, and high...

0 Rahul Aralikatte, et al. ∙

research

∙ 08/22/2019

Argument Invention from First Principles

Competitive debaters often find themselves facing a challenging task -- ...

0 Yonatan Bilu, et al. ∙

research

∙ 05/14/2019

The Language of Legal and Illegal Activity on the Darknet

The non-indexed parts of the Internet (the Darknet) have become a haven ...

0 Leshem Choshen, et al. ∙

research

∙ 04/01/2019

Syntactic Interchangeability in Word Embedding Models

Nearest neighbors in word embedding models are commonly observed to be s...

0 Daniel Hershcovich, et al. ∙

research

∙ 03/15/2019

Content Differences in Syntactic and Semantic Representations

Syntactic analysis plays an important role in semantic parsing, but the ...

0 Daniel Hershcovich, et al. ∙

research

∙ 03/06/2019

SemEval 2019 Task 1: Cross-lingual Semantic Parsing with UCCA

We present the SemEval 2019 shared task on UCCA parsing in English, Germ...

0 Daniel Hershcovich, et al. ∙

research

∙ 08/28/2018

Universal Dependency Parsing with a General Transition-Based DAG Parser

This paper presents our experiments with applying TUPA to the CoNLL 2018...

0 Daniel Hershcovich, et al. ∙

research

∙ 05/31/2018

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation

We announce a shared task on UCCA parsing in English, German and French,...

0 Daniel Hershcovich, et al. ∙

research

∙ 05/01/2018

Multitask Parsing Across Semantic Representations

The ability to consolidate information of different types is at the core...

0 Daniel Hershcovich, et al. ∙

research

∙ 04/03/2017

A Transition-Based Directed Acyclic Graph Parser for UCCA

We present the first parser for UCCA, a cross-linguistically applicable ...

0 Daniel Hershcovich, et al. ∙

Daniel Hershcovich

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