Association for Computational Linguistics

Displaying 1-8 of 8 results

  • White Papers // Sep 2013

    Linguistic Linked Open Data (LLOD) -Building the cloud

    The last decades have seen an immense maturation of Natural Language Processing (NLP) and an increased interest to apply NLP techniques and resources to real-world applications in business and academia. This process has certainly been facilitated by the increased availability of language data in the internet age, and the subsequent...

    Provided By Association for Computational Linguistics

  • White Papers // Dec 2012

    Translating Questions to SQL Queries with Generative Parsers Discriminatively Reranked

    In this paper, the authors define models for automatically translating a factoid question in natural language to an SQL query that retrieves the correct answer from a target relational DataBase (DB). They exploit the DB structure to generate a set of candidate SQL queries, which they rerank with an SVM-ranker...

    Provided By Association for Computational Linguistics

  • White Papers // Sep 2010

    MapCG: Writing Parallel Program Portable Between CPU and GPU

    Graphics Processing Units (GPU) have been playing an important role in the general purpose computing market recently. The common approach to program GPU today is to write GPU specific code with low level GPU APIs such as CUDA. Although this approach can achieve very good performance, it raises serious portability...

    Provided By Association for Computational Linguistics

  • White Papers // Jun 2010

    Intelligent Linux Information Access by Data Mining: the ILIAD Project

    The authors' propose an alternative to conventional information retrieval over Linux forum data, based on thread, post and user-level analysis, interfaced with an information retrieval engine via reranking. Due to the sheer scale of web data, simple keyword matching is an effective means of information access for many informational web...

    Provided By Association for Computational Linguistics

  • White Papers // May 2010

    Fast Query for Large Treebanks

    A variety of query systems have been developed for interrogating parsed corpora, or treebanks. With the arrival of efficient, wide coverage parsers, it is feasible to create very large databases of trees. However, existing approaches that use in-memory search, or relational or XML database technologies, do not scale up. The...

    Provided By Association for Computational Linguistics

  • White Papers // Apr 2009

    Grammatical Framework Web Service

    This paper presents a web service for natural language parsing, prediction, generation, and translation using grammars in Portable Grammar Format (PGF), the target format of the Grammatical Framework (GF) grammar compiler. The web service implementation is open source, works with any PGF grammar, and with any web server that supports...

    Provided By Association for Computational Linguistics

  • White Papers // Oct 2008

    An Analysis of Active Learning Strategies for Sequence Labeling Tasks

    Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed light on the best active learning approaches for sequence labeling tasks such as information extraction and document segmentation. The authors' surveys previously...

    Provided By Association for Computational Linguistics

  • White Papers // Aug 2008

    Online-Monitoring of Security-Related Events

    Gathering information about violent and natural disaster events from online news is of paramount importance to better understand conflicts and to develop global monitoring systems for the automatic detection of precursors for threats in the fields of conflict and health. This paper presents a fully operational real-time event extraction system...

    Provided By Association for Computational Linguistics

  • White Papers // Dec 2012

    Translating Questions to SQL Queries with Generative Parsers Discriminatively Reranked

    In this paper, the authors define models for automatically translating a factoid question in natural language to an SQL query that retrieves the correct answer from a target relational DataBase (DB). They exploit the DB structure to generate a set of candidate SQL queries, which they rerank with an SVM-ranker...

    Provided By Association for Computational Linguistics

  • White Papers // Oct 2008

    An Analysis of Active Learning Strategies for Sequence Labeling Tasks

    Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed light on the best active learning approaches for sequence labeling tasks such as information extraction and document segmentation. The authors' surveys previously...

    Provided By Association for Computational Linguistics

  • White Papers // Jun 2010

    Intelligent Linux Information Access by Data Mining: the ILIAD Project

    The authors' propose an alternative to conventional information retrieval over Linux forum data, based on thread, post and user-level analysis, interfaced with an information retrieval engine via reranking. Due to the sheer scale of web data, simple keyword matching is an effective means of information access for many informational web...

    Provided By Association for Computational Linguistics

  • White Papers // Apr 2009

    Grammatical Framework Web Service

    This paper presents a web service for natural language parsing, prediction, generation, and translation using grammars in Portable Grammar Format (PGF), the target format of the Grammatical Framework (GF) grammar compiler. The web service implementation is open source, works with any PGF grammar, and with any web server that supports...

    Provided By Association for Computational Linguistics

  • White Papers // Sep 2010

    MapCG: Writing Parallel Program Portable Between CPU and GPU

    Graphics Processing Units (GPU) have been playing an important role in the general purpose computing market recently. The common approach to program GPU today is to write GPU specific code with low level GPU APIs such as CUDA. Although this approach can achieve very good performance, it raises serious portability...

    Provided By Association for Computational Linguistics

  • White Papers // May 2010

    Fast Query for Large Treebanks

    A variety of query systems have been developed for interrogating parsed corpora, or treebanks. With the arrival of efficient, wide coverage parsers, it is feasible to create very large databases of trees. However, existing approaches that use in-memory search, or relational or XML database technologies, do not scale up. The...

    Provided By Association for Computational Linguistics

  • White Papers // Sep 2013

    Linguistic Linked Open Data (LLOD) -Building the cloud

    The last decades have seen an immense maturation of Natural Language Processing (NLP) and an increased interest to apply NLP techniques and resources to real-world applications in business and academia. This process has certainly been facilitated by the increased availability of language data in the internet age, and the subsequent...

    Provided By Association for Computational Linguistics

  • White Papers // Aug 2008

    Online-Monitoring of Security-Related Events

    Gathering information about violent and natural disaster events from online news is of paramount importance to better understand conflicts and to develop global monitoring systems for the automatic detection of precursors for threats in the fields of conflict and health. This paper presents a fully operational real-time event extraction system...

    Provided By Association for Computational Linguistics