We present a new method for detecting and disambiguating named entities in open domain text. A disambiguation SVM kernel is trained to exploit the high coverage and rich structure of the knowledge encoded in an online encyclopedia. The resulting model significantly outperforms a less informed baseline.

In this paper, we document our efforts in participating to the TREC 2011 Web Tracks. We had multiple aims: This year, tougher topics were selected for the Web Track, for which there is less popularity information available. We look at the relative value of anchor text for these less popular topics, and at impact of spam priors. Full-text retrieval on the ClueWeb09 B collection suffers from text...

Recurrent neural networks can generate locally coherent text but often have difficulties representing what has already been generated and what still needs to be said – especially when constructing long texts. We present the neural checklist model, a recurrent neural network that models global coherence by storing and updating an agenda of text strings which should be mentioned somewhere in the ...

The Web has very rapidly evolved over the last decade, from a mostly text-based information channel to a powerful multimedia-publishing medium rivalling traditional print media. Most internet search engines have matched this evolution of the Web from text to multimedia by developing their own dedicated image search tools and interfaces, and there are even some search engines that specialize onl...

The paper investigates the extent of the support semi-automatic analysis can provide for the specific task of assigning Hohfeldian relations of Duty, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and the bearers of associated roles. The outcome of the analysis supports scholars in identifying Hohfeldian structures in legal text when perf...

We present a case study of the methodology of using information extracted from interlinear glossed text (IGT) to create of actual working HPSG grammar fragments using the Grammar Matrix focusing on one language: Chintang. Though the results are barely measurable in terms of coverage over running text, they nonetheless provide a proof of concept. Our experience report reflects on the ways in whi...

Description: Thoroughly updated to reflect recent changes in the industry, Bovine Medicine, 3rd Edition, offers practicing large animal veterinarians and veterinary students a comprehensive reference to core aspects of contemporary cattle health and husbandry. New edition of a classic text, featuring thoroughly rewritten text, with coverage shifted to the core aspects of everyday cattle practic...

Lexicon is in important resource in any kind of language processing application. Corpus-based lexica have several advantages over other traditional approaches. The lexicon developed for Sinhala was based on the text obtained from a corpus of 10 million words drawn from diverse genres. The words extracted from the corpus have been labeled with parts of speech categories defined according to a no...

Social inclusion of people with Intellectual and Developmental Disabilities can be promoted by offering them ways to independently use the internet. People with reading or writing disabilities can use pictographs instead of text. We present a resource in which we have linked a set of 5710 pictographs to lexical-semantic concepts in Cornetto, a Wordnet-like database for Dutch. We show that, by u...

W e describe and discuss the results of ongoing experim ents that use morphological analysis in the context of Example-Based M achine Translation. The goal is to increase the coverage of our training examples so as to capture things that are not directly seen in the training text. This is done through a two stage process of generalization and filtering.