Filters








19,411 Hits in 8.6 sec

Identifying temporal relations between main events in new articles

Ines Berrazega, Rim Faiz
2013 2013 ACS International Conference on Computer Systems and Applications (AICCSA)  
In this concern, processing the temporal dimension of language and extracting temporal information from electronic news articles is becoming a prominent task.  ...  Our approach is based on a complete linguistic analysis of texts and supervised learning models.  ...  In fact the attributes which are directly obtained from the tags of the labeled contents have a great impact on the performance of temporal relation identification.  ... 
doi:10.1109/aiccsa.2013.6616467 dblp:conf/aiccsa/BerrazegaF13 fatcat:hpvdg3ksevaj7oqygjublvcuf4

SRL TOOL: Heuristics-based Semantic Role Labeling through natural language processing

Nazlia Omar, Siti Salwa Hasbullah
2008 2008 International Symposium on Information Technology  
This paper proposed a set of new heuristics to assist the semantic role labeling using natural language processing.  ...  The Semantic Role Labeling (SRL Tool) is developed to label the semantic roles that exist in English sentences.  ...  The potential of semantic role labeling has great impact on natural language processing (NLP) applications such as text summarization, question answering and machine translation.  ... 
doi:10.1109/itsim.2008.4631716 fatcat:hqkilpxowvcrbhde3pbkjrrnrm

A survey on question answering technology from an information retrieval perspective

Oleksandr Kolomiyets, Marie-Francine Moens
2011 Information Sciences  
On the one hand, natural language queries are reduced to keyword-based searches, on the other hand, knowledge bases are queried with structured or logical queries obtained from the natural language questions  ...  We discuss different levels of processing yielding bag-of-words-based and more complex representations integrating part-of-speech tags, classification of the expected answer type, semantic roles, discourse  ...  We refer to the sections on answer type recognition and semantic role labelling for a discussion of the classification algorithms.  ... 
doi:10.1016/j.ins.2011.07.047 fatcat:se6dcorj2jbidath35go5wi5yy

Question Answering over Pattern-Based User Models

Georgios Meditskos, Stamatia Dasiopoulou, Stefanos Vrochidis, Leo Wanner, Ioannis Kompatsiaris
2016 Proceedings of the 12th International Conference on Semantic Systems - SEMANTiCS 2016  
In this paper we present an ontology-driven framework for natural language question analysis and answering over user models (e.g. preferences, habits and health problems of individuals) that are formally  ...  We describe the coupling of a frame-based formalisation of natural language user utterances with a context-aware query interpretation towards question answering over pattern-based RDF knowledge bases.  ...  ACKNOWLEDGEMENTS This work has been partially supported by the H2020-645012 project "KRISTINA: A Knowledge-Based Information Agent with Social Competence and Human Interaction Capabilities".  ... 
doi:10.1145/2993318.2993331 dblp:conf/i-semantics/MeditskosDVWK16 fatcat:xtu2epshebcvrfe6x2i4w5iyra

Semantic Web Machine Reading with FRED

Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Francesco Draicchio, Misael Mongiovì, Harith Alani
2017 Semantic Web Journal  
A machine reader is a tool able to transform natural language text to formal structured knowledge so as the latter can be interpreted by machines, according to a shared semantics.  ...  FRED is a machine reader for the semantic web: its output is a RDF/OWL graph, whose design is based on frame semantics.  ...  Project MARIO Managing active and healthy aging with use of caring service robots.  ... 
doi:10.3233/sw-160240 fatcat:6uqoj5ymlfgn5e5gbqiocyg7ni

Understanding the Semantic Structure of Noun Phrase Queries

Xiao Li
2010 Annual Meeting of the Association for Computational Linguistics  
We present methods that automatically identify these constituents as well as their semantic roles based on Markov and semi-Markov conditional random fields.  ...  Determining the semantic intent of web queries not only involves identifying their semantic class, which is a primary focus of previous works, but also understanding their semantic structure.  ...  The role of IMs is to imposing constraints on the attributes of an intent class.  ... 
dblp:conf/acl/Li10 fatcat:fg77chotsrcupexwewlao657la

A Computational Cognitive Model for Semantic Sub-Network Extraction from Natural Language Queries

Suman Deb Roy, Wenjun Zeng
2012 International Conference on Computational Linguistics  
Semantic query sub-network is the representation of a natural language query as a graph of semantically connected words.  ...  In this paper, we present a novel standalone NLP technique that leverages the cognitive psychology notion of semantic forms for semantic subnetwork extraction from natural language queries.  ...  Natural languages are undeniably imprecise, especially in the realm of semantics. The primary reason of this imprecision is the fuzziness of class boundaries (Zadeh, 1998) .  ... 
dblp:conf/coling/RoyZ12 fatcat:o33akv74wvg2rfk33hpq5geeam

Machine Learning for Automatic Labeling of Frames and Frame Elements in Text

Martin Scaiano
2011 International Journal of Linguistics  
The development of systems that extract a frame representation of text can lead to deeper semantics being used in natural language processing.  ...  We present the development of our system for extracting frames from text. Our system is trained on the FrameNet data and tested on the SemEval 2007: Task 19 Frame Extraction Task data.  ...  Future work based on this system will likely involve testing it on tasks such as entailment, question answering, novelty detection (detection of novel or new information) and other reasoning-based tasks  ... 
doi:10.5296/ijl.v3i1.648 fatcat:kemrrigyrrgehi3ihwmtbierye

Comprehensive Supersense Disambiguation of English Prepositions and Possessives

Nathan Schneider, Jena D. Hwang, Vivek Srikumar, Jakob Prange, Austin Blodgett, Sarah R. Moeller, Aviram Stern, Adi Bitan, Omri Abend
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
; unite prepositions and possessives under the same class inventory; and distinguish between a marker's lexical contribution and the role it marks in the context of a predicate or scene.  ...  We introduce a new annotation scheme, corpus, and task for the disambiguation of prepositions and possessives in English.  ...  This research was supported in part by DTRA HDTRA1-16-1-0002/Project #1553695, by DARPA 15-18-CwC-FP-032, and by grant 2016375 from the United States-Israel Binational Science Foundation (BSF), Jerusalem  ... 
doi:10.18653/v1/p18-1018 dblp:conf/acl/AbendSSHPBMSB18 fatcat:nqy5xw6le5ckbe2bgx7cu7bjaa

Vietnamese Semantic Role Labelling

Phuong Le Hong, Hoang Thai Pham, Khoai Xuan Pham, Huyen Thi Minh Nguyen, Luong Thi Nguyen, Hiep Minh Nguyen
2017 VNU Journal of Science Computer Science and Communication Engineering  
In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences and its application for the Vietnamese language.  ...  We present our effort in building Vietnamese PropBank, a first Vietnamese SRL corpus and a software system for labelling semantic roles of Vietnamese texts.  ...  Introduction In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences.  ... 
doi:10.25073/2588-1086/vnucsce.166 fatcat:hsexh47rdvbizjjsk7sa5zebc4

Lymba's PowerAnswer 4 in TREC 2007

Dan I. Moldovan, Christine Clark, Moldovan Bowden
2007 Text Retrieval Conference  
This paper reports on Lymba Corporation's (a spinoff of Language Computer Corporation) participation in the TREC 2007 Question Answering track.  ...  An overview of the Power-Answer 4 question answering system and a discussion of new features added to meet the challenges of this year's evaluation are detailed.  ...  This work, and also our broader research in QA, is supported in part by the Disruptive Technology Office's (DTO) Advanced Question Answering for Intelligence (AQUAINT) Program.  ... 
dblp:conf/trec/MoldovanCB07 fatcat:bqcjn37sijfixo77mw3wd3jf7e

A Knowledge-Based Sense Disambiguation Method to Semantically Enhanced NL Question for Restricted Domain

Ammar Arbaaeen, Asadullah Shah
2021 Information  
Extracting the lexical semantic of a Natural Language (NL) question presents challenges at syntactic and semantic levels for most QA systems.  ...  Many studies have achieved encouraging results in lexical semantic resolution on the topic of word sense disambiguation (WSD), and several other works consider these challenges in the context of QA applications  ...  Semantic Role Labelling The automatic labelling of semantic roles serves to determine the meaning of the received question.  ... 
doi:10.3390/info12110452 fatcat:ynxlsrfstrh77mod64243nxoge

Has Computational Linguistics Become More Applied? [chapter]

Kenneth Church
2009 Lecture Notes in Computer Science  
Further work can show how this could benefit tasks like semantic role labeling and automatic conversion of existing English treebanks into this scheme. Abstract.  ...  We have created a natural language interface, which, for a useful class of systems, yields the automatic production of executable code from structured requirements.  ...  and semantic role labeling [3] .  ... 
doi:10.1007/978-3-642-00382-0_1 fatcat:oddvfzds4nfwjam2ccqeaxe2y4

Natural Language Questions for Semantic Web-Based News Aggregator

Quang-Minh Nguyen, Tuan-Dung Cao
2019 International Journal of Advanced Science and Technology  
Additionally, we propose a method to transform natural language questions into SPARQL queries to carry out semantic search on these semantic annotations.  ...  The impressive growth of the Web in the last decade has made it becomes one of the most popular news sources.  ...  an important role and has a big impact on main components of BKSport.  ... 
doi:10.33832/ijast.2019.133.04 fatcat:rh2aetyvozcmjbcicfuhxloiiy

Persian Semantic Role Labeling Based on Dependency Tree

Soghra Lazemi, Hossein Ebrahimpour Komleh, Nasser Noroozi
2020 International journal of information science and management  
Experiments have been done on the first semantic role corpus in Persian language and the corpus provided by the authors.  ...  Semantic role labeling is the task of attaching semantic tags to the words according to the occurred event in the sentence.  ...  They considered role labeling and sense identification as two separate tasks.  ... 
doaj:565143bd726a4efb86cc45181d3966cf fatcat:brehh7ktmjcido2lg4bgu5rf4y
« Previous Showing results 1 — 15 out of 19,411 results