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One of the major goals in automated argumentation mining is to uncover the argument structure present in argumentative text. In order to determine this structure, one must understand how different individual components of the overall…

Computation and Language · Computer Science 2017-05-10 Peter Potash , Alexey Romanov , Anna Rumshisky

Explicit representations of predicate-argument relations form the basis of interpretable semantic analysis, supporting reasoning, generation, and evaluation. However, attaining such semantic structures requires costly annotation efforts and…

Computation and Language · Computer Science 2026-02-27 Jonathan Davidov , Aviv Slobodkin , Shmuel Tomi Klein , Reut Tsarfaty , Ido Dagan , Ayal Klein

The problem of checking whether two programs are semantically equivalent or not has a diverse range of applications, and is consequently of substantial importance. There are several techniques that address this problem, chiefly by…

Software Engineering · Computer Science 2021-09-07 Manish Goyal , Muqsit Azeem , Kumar Madhukar , R. Venkatesh

How to make the most of multiple heterogeneous treebanks when training a monolingual dependency parser is an open question. We start by investigating previously suggested, but little evaluated, strategies for exploiting multiple treebanks…

Computation and Language · Computer Science 2018-05-15 Sara Stymne , Miryam de Lhoneux , Aaron Smith , Joakim Nivre

In this paper, we study whether transformer-based language models can extract predicate argument structure from simple sentences. We firstly show that language models sometimes confuse which predicates apply to which objects. To mitigate…

Computation and Language · Computer Science 2024-10-07 Akshay Chaturvedi , Nicholas Asher

We introduce STREET, a unified multi-task and multi-domain natural language reasoning and explanation benchmark. Unlike most existing question-answering (QA) datasets, we expect models to not only answer questions, but also produce…

In this paper we present a sample treebank for Old English based on the UD Cairo sentences, collected and annotated as part of a classroom curriculum in Historical Linguistics. To collect the data, a sample of 20 sentences illustrating a…

Computation and Language · Computer Science 2025-06-13 Lauren Levine , Junghyun Min , Amir Zeldes

In order to reveal the rationale behind model predictions, many works have exploited providing explanations in various forms. Recently, to further guarantee readability, more and more works turn to generate sentence-level human language…

Computation and Language · Computer Science 2023-02-22 Yan Liu , Xiaokang Chen , Qi Dai

Text discourse parsing plays an important role in understanding information flow and argumentative structure in natural language. Previous research under the Rhetorical Structure Theory (RST) has mostly focused on inducing and evaluating…

Computation and Language · Computer Science 2020-12-04 Zhengyuan Liu , Ke Shi , Nancy F. Chen

Comparable texts are topic-aligned documents in multiple languages that are not direct translations. They are valuable for understanding how a topic is discussed across languages. This research studies differences in sentiments and emotions…

Computation and Language · Computer Science 2025-08-06 Motaz Saad , David Langlois , Kamel Smaili

The limited ability to reason across occupational data from different sources is a long-standing bottleneck for data-driven labour market analytics. Previous research has relied on hand-crafted ontologies that allow such reasoning but are…

Machine Learning · Computer Science 2025-09-08 Heinke Hihn , Dennis A. V. Dittrich , Carl Jeske , Cayo Costa Sobral , Helio Pais , Timm Lochmann

In this paper we investigated two different methods to parse relative and noun complement clauses in English and resorted to distinct tags for their corresponding that as a relative pronoun and as a complementizer. We used an algorithm to…

Computation and Language · Computer Science 2022-12-07 Zineddine Tighidet , Nicolas Ballier

Real world deployments of word alignment are almost certain to cover both high and low resource languages. However, the state-of-the-art for this task recommends a different model class depending on the availability of gold alignment…

Computation and Language · Computer Science 2024-07-19 Gaetan Lopez Latouche , Marc-André Carbonneau , Ben Swanson

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 framework for semantic representation, which builds on…

Computation and Language · Computer Science 2020-06-12 Daniel Hershcovich , Zohar Aizenbud , Leshem Choshen , Elior Sulem , Ari Rappoport , Omri Abend

Discourse parsing has long been treated as a stand-alone problem independent from constituency or dependency parsing. Most attempts at this problem are pipelined rather than end-to-end, sophisticated, and not self-contained: they assume…

Computation and Language · Computer Science 2017-08-30 Kai Zhao , Liang Huang

Language model benchmarks are pervasive and computationally-efficient proxies for real-world performance. However, many recent works find that benchmarks often fail to predict real utility. Towards bridging this gap, we introduce benchmark…

Artificial Intelligence · Computer Science 2026-05-28 Marco Gutierrez , Xinyi Leng , Hannah Cyberey , Jonathan Richard Schwarz , Ahmed Alaa , Thomas Hartvigsen

The modelling, specification and study of the semantics of concurrent reactive systems have been interesting research topics for many years now. The aim of this thesis is to exploit the strengths of the (co)algebraic framework in modelling…

Logic in Computer Science · Computer Science 2015-02-11 Georgiana Caltais

Rhetorical Structure Theory implies no single discourse interpretation of a text, and the limitations of RST parsers further exacerbate inconsistent parsing of similar structures. Therefore, it is important to take into account that the…

Computation and Language · Computer Science 2024-01-23 Elena Chistova

Text simplification is an intralingual translation task in which documents, or sentences of a complex source text are simplified for a target audience. The success of automatic text simplification systems is highly dependent on the quality…

Computation and Language · Computer Science 2024-07-08 Regina Stodden , Omar Momen , Laura Kallmeyer

In this paper, we present an adaptive bitextual alignment system called AIlign. This aligner relies on sentence embeddings to extract reliable anchor points that can guide the alignment path, even for texts whose parallelism is fragmentary…

Computation and Language · Computer Science 2024-03-19 Olivier Kraif