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Showing 1 to 20 of 54 for “"relation extraction"”.

  1. Evidence-enhanced document-level relation extraction

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms

    uiuc Repository record for Evidence-enhanced document-level relation extraction (opens in a new tab)

  2. Exploratory relation extraction in large multilingual data

    The task of Relation Extraction (RE) is concerned with creating extractors that automatically find structured, relational information in unstructured data such as natural language text. Motivated by an explosion of sources of readily available text data such as the Web, RE offers intriguing …

    tu-berlin Repository record for Exploratory relation extraction in large multilingual data (opens in a new tab)

  3. Unsupervised Relation Extraction for E-Learning Applications

    … (NLP) based approach that relies on semantic relations extracted using Information Extraction to automatically generate MCTs. Information Extraction (IE) is an NLP field used to recognise the most important entities present in a text, and the relations between those concepts, regardless of …

    wlv Repository record for Unsupervised Relation Extraction for E-Learning Applications (opens in a new tab)

  4. Background knowledge in learning-based relation extraction

    Made available in DSpace on 2012-09-18T21:14:11Z (GMT). No. of bitstreams: 2 Do_Quang.pdf: 614220 bytes, checksum: 85ceb0b26f41d6d99d587b3e4187f19f (MD5) license.txt: 4058 bytes, checksum: 6a9a79b721b490aae6cb1e54370d178a (MD5)

    uiuc Repository record for Background knowledge in learning-based relation extraction (opens in a new tab)

  5. Applying semantic relation extraction to information retrieval

    Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.

    mit Repository record for Applying semantic relation extraction to information retrieval (opens in a new tab)

  6. Topic-oriented open relation extraction with seed generation

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01

    uiuc Repository record for Topic-oriented open relation extraction with seed generation (opens in a new tab)

  7. Tailoring large language models for zero-shot relation extraction

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms

    uiuc Repository record for Tailoring large language models for zero-shot relation extraction (opens in a new tab)

  8. Indirect supervision for relation extraction using question-answer pairs

    "Automatic relation extraction (RE) for types of interest is of great importance for interpreting massive text corpora in an efficient manner. For example, we want to identify the relationship ""president_of"" between entities ""Donald Trump"" and ""United States"" in a sentence expressing such a …

    uiuc Repository record for Indirect supervision for relation extraction using question-answer pairs (opens in a new tab)

  9. A Flexible Framework for Relation Extraction in Multiple Domains

    Relation Extraction (RE) refers to the problem of extracting semantic relationships between concepts in a given sentence, and is an important component of Natural Language Understanding (NLU). It has been popularly studied in both the general purpose as well as the medical domains, and researchers …

    mit Repository record for A Flexible Framework for Relation Extraction in Multiple Domains (opens in a new tab)

  10. End-to-End Relation Extraction via Syntactic Structures and Semantic Resources

    Information Extraction (IE) aims at mapping texts into fixed structure representing the key information. A typical IE system will try to answer the questions like who are present in the text, what events happen and when these events happen. The task is making possible significant advances in …

    trento Repository record for End-to-End Relation Extraction via Syntactic Structures and Semantic Resources (opens in a new tab)

  11. N-ary Cross-sentence Relation Extraction: From Supervised to Unsupervised Learning

    Relation extraction is the problem of extracting relations between entities described in the text. Relations identify a common "fact" described by distinct entities. Conventional relation extraction approaches focus on supervised binary intra-sentence relations, where the assumption is relations …

    vt Repository record for N-ary Cross-sentence Relation Extraction: From Supervised to Unsupervised Learning (opens in a new tab)

  12. Relation extraction: exploring syntax parsing and constructing it as attention-like structure

    Relation extraction has attracted scientists’ attention since early 21st centuries and it has been one of the common natural language processing (NLP) tasks. It is so important since it could extract semantic relationships from corpus. There are several subtasks in relation extraction area, …

    uiuc Repository record for Relation extraction: exploring syntax parsing and constructing it as attention-like structure (opens in a new tab)

  13. Groundtruth budgeting : a novel approach to semi-supervised relation extraction in medical language

    We address the problem of weakly-supervised relation extraction in hospital discharge summaries. Sentences with pre-identified concept types (for example: medication, test, problem, symptom) are labeled with the relationship between the concepts. We present a novel technique for weakly-supervised …

    mit Repository record for Groundtruth budgeting : a novel approach to semi-supervised relation extraction in medical language (opens in a new tab)

  14. A medication extraction framework for electronic health records

    This thesis addresses the problem of concept and relation extraction in medical documents. We present a medical concept and relation extraction system (medNERR) that incorporates hand-built rules and constrained conditional models. We focus on two concept types (i.e., medications and medical …

    mit Repository record for A medication extraction framework for electronic health records (opens in a new tab)

  15. Event time representation, propagation and prediction in temporal information extraction

    Temporal information extraction is a challenging task due to the inherent ambiguity of language. Event time plays an important role in temporal information extraction, which can help ground events into a timeline and can help other temporal information extraction tasks such as temporal relation

    uiuc Repository record for Event time representation, propagation and prediction in temporal information extraction (opens in a new tab)

  16. Temporal Reasoning in Clinical Narratives: From Information Extraction to Early Disease Detection

    … a deeper exploration into concept and temporal relation extraction from clinical narratives. Towards this, I introduce GraphTREx, a state-of-the-art temporal relation extraction approach that achieves a 5% F1 improvement on the end-to-end temporal relation extraction task in the I2B2 2012 …

    uic

  17. Information extraction with neural networks

    … Finally, we present an ANN architecture for relation extraction, which ranked first in the SemEval-2017 task 10 (ScienceIE) for relation extraction in scientific articles (subtask C).

    mit Repository record for Information extraction with neural networks (opens in a new tab)

  18. Domain knowledge acquisition via language grounding

    … language grounding problem at the level of word relation extraction. We propose methods to acquire knowledge represented in the form of relations and utilize them in two domain applications, high-level planning in a complex virtual world and input parser generation from input format …

    mit Repository record for Domain knowledge acquisition via language grounding (opens in a new tab)

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