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Article
Open AccessNERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding
Machine reading (MR) is essential for unlocking valuable knowledge contained in millions of existing biomedical documents. Over the last two decades1,2, the most dramatic advances in MR have followed in the wake ...
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Chapter and Conference Paper
Within-Ejaculate Sperm Selection and Its Implications for Assisted Reproduction Technologies
In most animals, males produce large numbers of sperm in each ejaculate, but only very few end up fertilising an egg. This bottleneck in sperm numbers from ejaculation to fertilisation offers an intuitive oppo...
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Article
Incident-Driven Machine Translation and Name Tagging for Low-resource Languages
We describe novel approaches to tackling the problem of natural language processing for low-resource languages. The approaches are embodied in systems for name tagging and machine translation (MT) that we cons...
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Chapter and Conference Paper
Building and Using a Knowledge Graph to Combat Human Trafficking
There is a huge amount of data spread across the web and stored in databases that we can use to build knowledge graphs. However, exploiting this data to build knowledge graphs is difficult due to the heterogen...
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Chapter
Exploiting Comparable Corpora
Comparable corpora exhibit various degrees of parallelism. Fung and Cheung [3] describe corpora ranging from noisy parallel, to comparable, and finally to very non-parallel. The last category contains corpora com...
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Article
Search-based structured prediction
We present Searn, an algorithm for integrating search and learning to solve complex structured prediction problems such as those that occur in natural language, speech, computational biology, and vision. Searn is...
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Chapter
How To Select An Answer String?
Given a question Q and a sentence/paragraph SP that is likely to contain the answer to Q, an answer selection module is supposed to select the “exact” answer sub-string A ⊂ SP. We study three distinct approach...
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Chapter and Conference Paper
Unsupervised Learning of Verb Argument Structures
We present a statistical generative model for unsupervised learning of verb argument structures. The model was used to automatically induce the argument structures for the 1,500 most frequent verbs of English....
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Chapter and Conference Paper
Towards Develo** Probabilistic Generative Models for Reasoning with Natural Language Representations
Probabilistic generative models have been applied successfully in a wide range of applications that range from speech recognition and part of speech tagging, to machine translation and information retrieval, b...
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Chapter and Conference Paper
Cross-Language Question Answering at the USC Information Sciences Institute
The TextMap-TMT cross-language question answering system at USC-ISI was designed to answer Spanish questions from English documents. The system is fully automatic, including question translation from Spanish t...
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Chapter and Conference Paper
Text Simplification for Information-Seeking Applications
This paper addresses the issue of simplifying natural language texts in order to ease the task of accessing factual information contained in them. We define the notion of Easy Access Sentence – a unit of text ...
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Article
A Machine Learning Approach for Identification Thesis and Conclusion Statements in Student Essays
This study describes and evaluates twoessay-based discourse analysis systems thatidentify thesis and conclusion statements fromstudent essays written on six different essaytopics. Essays used to train and eval...
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Chapter
Building a Discourse-Tagged Corpus in the Framework of Rhetorical Structure Theory
We describe our experience in develo** a discourse-annotated corpus for community-wide use. Working in the framework of Rhetorical Structure Theory, we were able to create a large annotated resource with ver...
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Article
Translation with Scarce Bilingual Resources
Machine translation of human languages is a field almost as old as computers themselves. Recent approaches to this challenging problem aim at learning translation knowledge automatically (or semi-automatically...
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Chapter and Conference Paper
Using a Large Monolingual Corpus to Improve Translation Accuracy
The existence of a phrase in a large monolingual corpus is very useful information, and so is its frequency. We introduce an alternative approach to automatic translation of phrases/sentences that operationali...
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Chapter and Conference Paper
Translation by the Numbers: Language Weaver
Pre-market prototype - to be available commercially in the second or third quarter of 2003.
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Chapter and Conference Paper
Foundations of a logical approach to agent programming
This paper describes a novel approach to high-level agent programming based on a highly developed logical theory of action. The user provides a specification of the agents' basic actions (preconditions and eff...
