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This research introduces a new parsing approach, based on earlier syntactic work on context free grammar (CFG) and generalized phrase structure grammar (GPSG). The approach comprises both a new parsing algorithm and a set of syntactic rules…

Computation and Language · Computer Science 2026-02-17 Ghaly Hussein

For natural language processing systems, two kinds of evidence support the use of text representations from neural language models "pretrained" on large unannotated corpora: performance on application-inspired benchmarks (Peters et al.,…

Computation and Language · Computer Science 2021-12-17 Zhaofeng Wu , Hao Peng , Noah A. Smith

The structure of a sentence can be represented as a network where vertices are words and edges indicate syntactic dependencies. Interestingly, crossing syntactic dependencies have been observed to be infrequent in human languages. This…

Computation and Language · Computer Science 2017-12-13 Carlos Gómez-Rodríguez , Ramon Ferrer-i-Cancho

Several studies on sentence processing suggest that the mental lexicon keeps track of the mutual expectations between words. Current DSMs, however, represent context words as separate features, thereby loosing important information for word…

Computation and Language · Computer Science 2016-10-06 Emmanuele Chersoni , Enrico Santus , Alessandro Lenci , Philippe Blache , Chu-Ren Huang

This is the annotation manual for Universal Conceptual Cognitive Annotation (UCCA; Abend and Rappoport, 2013), specifically the Foundational Layer. UCCA is a graph-based semantic annotation scheme based on typological linguistic principles.…

Computation and Language · Computer Science 2021-01-01 Omri Abend , Nathan Schneider , Dotan Dvir , Jakob Prange , Ari Rappoport

This paper presents UD-NewsCrawl, the largest Tagalog treebank to date, containing 15.6k trees manually annotated according to the Universal Dependencies framework. We detail our treebank development process, including data collection,…

Computation and Language · Computer Science 2025-05-28 Angelina A. Aquino , Lester James V. Miranda , Elsie Marie T. Or

This paper conducts a longitudinal study over eleven months to address the limitations of prior research on the Open Ko-LLM Leaderboard, which have relied on empirical studies with restricted observation periods of only five months. By…

Computation and Language · Computer Science 2025-03-05 Chanjun Park , Hyeonwoo Kim

Math word problems provide a natural abstraction to a range of natural language understanding problems that involve reasoning about quantities, such as interpreting election results, news about casualties, and the financial section of a…

Computation and Language · Computer Science 2016-12-06 Subhro Roy , Dan Roth

Characterizing temporal dependence patterns is a critical step in understanding the statistical properties of sequential data. Long Range Dependence (LRD) --- referring to long-range correlations decaying as a power law rather than…

Machine Learning · Computer Science 2019-05-24 Francois Belletti , Minmin Chen , Ed H. Chi

Syntactic theory has traditionally adopted a constructivist approach, in which a set of atomic elements are manipulated by combinatory operations to yield derived, complex elements. Syntactic structure is thus seen as the result or discrete…

Computation and Language · Computer Science 2019-01-01 Diego Gabriel Krivochen

A discriminative structured analysis dictionary is proposed for the classification task. A structure of the union of subspaces (UoS) is integrated into the conventional analysis dictionary learning to enhance the capability of…

Computer Vision and Pattern Recognition · Computer Science 2019-09-17 Wen Tang , Ashkan Panahi , Hamid Krim , Liyi Dai

The goal of this paper is two-fold: to present an abstract data model for linguistic annotations and its implementation using XML, RDF and related standards; and to outline the work of a newly formed committee of the International Standards…

Computation and Language · Computer Science 2009-11-11 Nancy Ide , Laurent Romary

Conversational multimodal understanding aims to infer the meaning or label of the current utterance from its preceding dialogue context together with textual, acoustic, and visual signals. Existing methods mainly strengthen contextual…

Multimedia · Computer Science 2026-04-29 Zhaoyan Pan , Hengyang Zhou , Xiangdong Li , Yuning Wang , Ye Lou , Jiatong Pan , Ji Zhou , Wei Zhang

The sense analysis is still critical problem in machine translation system, especially such as English-Korean translation which the syntactical different between source and target languages is very great. We suggest a method for selecting…

Computation and Language · Computer Science 2013-05-16 Hyonil Kim , Changil Choe

This note clarifies the concept of syntax and semantics and their relationships. Today, a lot of confusion arises from the fact that the word "semantics" is used in different meanings. We discuss a general approach at defining semantics…

Software Engineering · Computer Science 2014-09-25 Bernhard Rumpe

The vehicle to represent Knowledge Organization Systems (KOSs) in the environment of the Semantic Web and linked data is the Simple Knowledge Organization System (SKOS). SKOS provides a way to assign a URI to each concept, and this URI…

Digital Libraries · Computer Science 2020-01-16 Anna Mastora , Manolis Peponakis , Sarantos Kapidakis

A question answering system that in addition to providing an answer provides an explanation of the reasoning that leads to that answer has potential advantages in terms of debuggability, extensibility and trust. To this end, we propose QED,…

Computation and Language · Computer Science 2020-09-15 Matthew Lamm , Jennimaria Palomaki , Chris Alberti , Daniel Andor , Eunsol Choi , Livio Baldini Soares , Michael Collins

Language development researchers are interested in comparing the process of language learning across languages. Unfortunately, it has been difficult to construct a consistent quantitative framework for such comparisons. However, recent…

Computation and Language · Computer Science 2024-07-18 Houjun Liu , Brian MacWhinney

This paper presents the phonological, morphological, and syntactic distinctions between formal and informal Persian, showing that these two variants have fundamental differences that cannot be attributed solely to pronunciation…

Computation and Language · Computer Science 2022-01-12 Roya Kabiri , Simin Karimi , Mihai Surdeanu

In order to build efficient deep recurrent neural architectures, it is essential to analyze the complexityof long distance dependencies (LDDs) of the dataset being modeled. In this paper, we presentdetailed analysis of the dependency decay…

Machine Learning · Computer Science 2020-12-09 Abhijit Mahalunkar , John D. Kelleher