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Using Grammatical Inference For Structure Induction

Alexandre Saidi
2006 2006 15th International Conference on Computing  
We specify and use the process of the Grammatical Inference as an instance of the Constraint Satisfaction Problem that instantiates automata in a (language inclusion) lattice.  ...  Given the huge quantity of the current available textual information, Text Mining process tackles the task of searching useful knowledge in a natural language document.  ...  Given a textual corpus, the information extraction process applied by the techniques of Text Mining (e.g.  ... 
doi:10.1109/cic.2006.71 fatcat:k4webh2hujcrtlupfns4myp7ea

Contextfree Grammar Extraction form Web Document using Probabilities Association

Ramesh Thakur
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
Most of the existing system uses hand coded wrappers to extract information, which is monotonous and time consuming.  ...  Learning grammatical information from given set of Web pages (HTML) has attracted lots of attention in the past decades.  ...  Information Extraction from textual data has various applications, such as semantic search [4] .  ... 
doi:10.17762/ijritcc2321-8169.1504103 fatcat:clyojvtudbccbc7uhdq7rllaga

Parser evaluation using textual entailments

Deniz Yuret, Laura Rimell, Aydın Han
2012 Language Resources and Evaluation  
The task involves recognizing textual entailments based on syntactic information alone.  ...  PETE introduces a new parser evaluation scheme that is formalism independent, less prone to annotation error, and focused on semantically relevant distinctions.  ...  Acknowledgments We would like to thank Laura Rimell, Stephan Oepen and Anna Mac for their careful analysis and valuable suggestions.Önder Eker contributed to the early development of the PETE task.  ... 
doi:10.1007/s10579-012-9200-5 fatcat:gao47a5q4bbn7bicfjwrgob7fa

Towards Logical Inference for Arabic Question-Answering

Wided Bakari, Patrice Bellot, Omar Trigui, Mahmoud Neji
2015 Research in Computing Science  
The second one is the use of textual entailment techniques that relies on inference and logic representation to extract the candidate answer.  ...  The last step is the extraction and selection of this answer.  ...  It is proposed to ensure advancements in textual inference research (Shima et al., 2011) .  ... 
doi:10.13053/rcs-90-1-7 fatcat:jnaexpzqrfftdj26t4vwkyzpqm

Entailment Graphs for Text Analytics in the Excitement Project [chapter]

Bernardo Magnini, Ido Dagan, Günter Neumann, Sebastian Pado
2014 Lecture Notes in Computer Science  
The attention on such semantic relations has raised the demand to move towards more informative meaning representations, which express properties of concepts and relations among them.  ...  social media, and multiple languages (English, German, Italian).  ...  The result is an ideal software environment for experimenting and testing innovative approaches for textual inferences.  ... 
doi:10.1007/978-3-319-10816-2_2 fatcat:ciubopadfrbjfn5v7krba2e2hu

Controlling Extra-Textual Attributes about Dialogue Participants – A Case Study of English-to-Polish Neural Machine Translation [article]

Sebastian T. Vincent, Loïc Barrault, Carolina Scarton
2022 arXiv   pre-print
information is unavailable.  ...  When translating from English to such languages, a machine translation model needs to opt for a certain interpretation of textual context, which may lead to serious translation errors if extra-textual  ...  ILGENDER is trivially inferred in formal cases; for informal language, we match structures analogous to those for the SPGENDER and extend them to comparative phrases and vocatives.  ... 
arXiv:2205.04747v2 fatcat:ukfrvb2kpndzbc7kaneyit6taa

Leveraging grammatical roles for measuring semantic similarity between texts

Md Atabuzzaman, Md Shajalal, M Elius Ahmed, Masud Ibn Afjal, Masaki Aono
2021 IEEE Access  
sentiment analysis, and clinical information extraction [7] .  ...  INTRODUCTION Semantic Textual Similarity (STS) between sentences is indispensable and beneficial for Information Retrieval (IR) and Natural Language Processing (NLP) tasks.  ...  His research interests include image processing, information Security, Big Data analysis, and text mining.  ... 
doi:10.1109/access.2021.3074747 fatcat:fwc3s6vuxrdj3n6fgmtvv3jdb4

On Evidential Strategies in Manchu

Liliya M. Gorelova, Arthur Chen
2016 Saksaha A Journal of Manchu Studies  
In particular, we found that semantico-grammatical complexes consisting of information and perception verbs, followed by the suffix of conditional converb, are mostly used to code evidential meanings.  ...  Thus, both factors, lexical and grammatical, contribute to encoding evidential meanings in Manchu, and these complexes and constructions can be considered as a basis for the formation of the grammatical  ...  Textual connectors in Manchu Textual connectors are understood here as language elements, of a different degree of grammaticalization, which are used to advance information in discourse.  ... 
doi:10.3998/saksaha.13401746.0013.002 fatcat:5mojdt2i5fhphk3stxgr2rpr3m

Large-Scale Paraphrasing for Natural Language Understanding

Juri Ganitkevitch
2013 North American Chapter of the Association for Computational Linguistics  
We leverage bilingual parallel corpora to extract a large collection of syntactic paraphrase pairs, and introduce an adaptation scheme that allows us to tackle a variety of text transformation tasks via  ...  By extending the synchronous parsing paradigm towards these entailment relations, we will enable our system to perform recognition of textual entailment.  ...  The views and conclusions contained in this publication are those of the authors and should not be interpreted as representing official policies or endorsements of DARPA, the NSF, or the U.S.  ... 
dblp:conf/naacl/Ganitkevitch13 fatcat:ereijjiorjafvp3tjeaj5whf2a

With raised eyebrows or the eyebrows raised ? A Neural Network Approach to Grammar Checking for Definiteness [article]

Gabriele Scheler
1996 arXiv   pre-print
We then applied a textual encoding technique to the 125 occurences of the relevant category in a 10 000 word narrative text and learned a surface -- semantics mapping.  ...  In these cases other grammatical information that is provided in the surface coding, e.g.  ...  Then we explain the principles of textual coding that we have used for the semantic feature extraction experiments.  ... 
arXiv:cmp-lg/9606017v1 fatcat:6n4pkttqoffilo2ieofiubzoiu

Representation of linguistic form and function in recurrent neural networks [article]

Ákos Kádár, Grzegorz Chrupała, Afra Alishahi
2016 arXiv   pre-print
structure of the sentence b) pays selective attention to lexical categories and grammatical functions that carry semantic information c) learns to treat the same input token differently depending on its  ...  grammatical functions in the sentence.  ...  pays selective attention to lexical categories and grammatical functions that carry semantic information.  ... 
arXiv:1602.08952v2 fatcat:6u4hpmx6ffbwbe452ogfwg3yma

EFFICIENT TEXT SUMMARIZER USING POINT TO GENERATOR TECHNIQUE

G. Lasya Sriranga, P. Likitha, B. Meghana, N. Jayanthi
2020 International Journal of Engineering Applied Sciences and Technology  
Text summarization is the system of extracting essential facts from the given facts and writing it within the form of precis.  ...  Text summarization is been used in lots of application like business evaluation and marketplace overview.  ...  rules to extract the information from source text and represent it in the form of template.  ... 
doi:10.33564/ijeast.2020.v05i01.086 fatcat:5ftlnunrj5gc3doqp6bjklbcne

On the Role of Textual Connectives in Sentence Comprehension: A New Dataset for Italian

Giorgia Albertin, Alessio Miaschi, Dominique Brunato
2021 Italian Conference on Computational Linguistics  
In this paper we present a new evaluation resource for Italian aimed at assessing the role of textual connectives in the comprehension of the meaning of a sentence.  ...  in real usage sentences influence the perceived acceptability of the sentence by native speakers and Neural Language Models (NLMs).  ...  will be fundamental to infer the correct entailment relation between a premise and a hypothesis.  ... 
dblp:conf/clic-it/AlbertinMB21 fatcat:khzauzlzfnd5rgu6hq6l66tkie

The Role of Previous Discourse in Identifying Public Textual Cyberbullying

Aurelia Power, Anthony Keane, Brian Nolan, Brian O'Neill
2019 Journal of Computer-Assisted Linguistic Research  
and cyberbullying link inferable constructions, and (4) dysphemistic element inferable constructions.  ...  Based on the analysis of our dataset, we first discuss the missing cyberbullying elements and the grammatical structures representative of discourse-dependent cyberbullying discourse.  ...  Finally, in the case of (2 c.), U1's first utterance provides the old discourse inferable information that is needed to qualify the last instance as public textual cyberbullying.  ... 
doi:10.4995/jclr.2019.11013 fatcat:rm7qk3wex5ah7l6x3wkpwiex6i

Towards an open software architecture for interleaved knowledge and natural language processing

Marcus Spies
2015 Scientific Publications of the State University of Novi Pazar Series A Applied Mathematics Informatics and mechanics  
Prominent examples are term-frequency based document retrieval or document topic extraction systems.  ...  Specifically, "deep" NLP outputs beyond conventional syntax trees allow for better interoperability with other information or knowledge management (IM/KM) components, e.g. those using semantic technologies  ...  A key innovation paving the way to an increased adoption of deep NLP is information extraction (IE).  ... 
doi:10.5937/spsunp1501007s fatcat:ahgcthfenrdurox2cc3haxtfnu
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