cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35111/0qv2-1916
title: Chinese Treebank 4.0

description: <h3>Introduction</h3><br>
<p>Chinese Treebank 4.0 was produced by Linguistic Data Consortium (LDC) catalog number LDC2004T05 and ISBN 1-58563-287-2.</p><br>
<p>The Penn Chinese Treebank is an ongoing project that started in the summer of 1998. The goal of the project is to create of a 500,000-word corpus of Chinese text with syntactic bracketing. Chinese Treebank 1.0 was first published in 2000. It was later corrected and released in 2001 as <a href="http://catalog.ldc.upenn.edu/LDC2001T11" rel="nofollow">Chinese Treebank 2.0</a>. More information about the project is available on the <a href="https://www.cs.brandeis.edu/~llc/page2/page2.html">Chinese Treebank</a> website.</p><br>
<p>The content used in this corpus comes from the following newswire sources:</p><br>
<table><br>
<tbody><br>
<tr><br>
<td colspan="20%">698 articles</td><br>
<td>Xinhua (1994-1998)</td><br>
</tr><br>
<tr><br>
<td colspan="20%">55 articles</td><br>
<td>Information Services Department of HKSAR (1997)</td><br>
</tr><br>
<tr><br>
<td colspan="20%">80 articles</td><br>
<td>Sinorama magazine, Taiwan (1996-1998 & 2000-2001)</td><br>
</tr><br>
</tbody><br>
</table><br>
<h3>Data</h3><br>
<p>Chinese Treebank 4.0 contains 404,156 words, 664,633 Hanzi, 15,162 sentences, and 838 data files.</p><br>
<p>All files are GB encoded. The format of Chinese Treebank 4.0 is the same as the Penn English Treebank. All files have been annotated at least twice. The first pass was done by one annotator, and the resulting files were checked by a second annotator (second pass). The corpus also provides seven files intended to serve as the gold standard annotation.</p><br>
<p>The corpus provides four versions of files: bracketed, raw, segmented and postagged. The raw, segmented and postagged versions are generated from the bracketed version and so do not reflect the previous annotation stages.</p><br>
<h3>Updates</h3><br>
<p>None at this time.</p><br>
<h3>Sponsorship</h3><br>
<p>This corpus was funded in part through the DARPA-TIDES grant number N66001-00-1-8915.</p></br>
Portions © 1997 The Government of the Hong Kong Special Administrative Region, © 1996-1998, 2000-2001 Sinorama Magazine, © 1994-1998 Xinhua News Agency, © 2001, 2004 Trustees of the University of Pennsylvania
DOI: 10.35111/edwz-f430
title: ISL Meeting Transcripts Part 1

description: <h3>Introduction</h3> <p>ISL Meeting Transcripts Part 1 was produced by Linguistic Data Consortium (LDC) catalog number LDC2004T10 and ISBN 1-58563-295-3. </p><p>The ISL Meeting Corpus Part 1 is a first subset of the ISL Meeting Corpus (112 meetings). It contains 18 meetings collected at the Interactive Systems Laboratories at Carnegie Mellon University in Pittsburgh, PA during the years 2000-2001. The recorded meetings were either natural meetings where participants needed to meet in the real world, or artificial meetings, which were designed explicitly for the purposes of data collection but still had real topics and tasks. The duration of the meetings in this corpus ranges from eight to 64 minutes and averages at 34 minutes.The audio files are available as <a href="http://catalog.ldc.upenn.edu/LDC2004S05" rel="nofollow"> ISL Meeting Speech Part 1</a>. </p><h3>Data</h3> <p>This corpus consists of 19 word-level transcripts of 18 meetings (one transcription file per meeting, meeting m039 has two parts, m039a and m039b), time synchronized to digitized audio recordings. There are approximately 116,200 word tokens and 5,850 unique word types in the transcripts. </p><p>The meetings were recorded with lapel microphones. The transcriptions were based on the lapel microphones recordings. The focus of the transcriptions was on capturing the flow of audible events, especially the words which were spoken, and who spoke them. The transcriptions contain additional annotations for spontaneous speech events and disfluencies. </p><p>Transcriptions were prepared by means of the TransEdit transcription application. This application was developed for the transcription of multi-channel recordings and displays a synchronized multi-track view for all channels of a meeting with listening and segmentation function for each single channel separately. </p><p>For an example transcript, please click <a href="./desc/addenda/LDC2004T10" rel="nofollow">here</a>. </p><p>There are a total of 31 unique speakers in the corpus. Meetings involved anywhere from three to nine participants, averaging at five. The corpus contains a significant proportion of non-native English speakers, varying in fluency. </p><h3>Sponsorship</h3> <p>The collection and preparation of this corpus was made possible in large part through funding from DARPA, both through the GENOA project and through ROAR. </p><h3>Updates</h3> <p>Additional information, updates, bug fixes may be avaibale on the <a rel="nofollow">ISL Meeting Room project page</a>. </p> </br>
Portions © 2000-2003 Interactive Systems Laboratories, Carnegie Mellon University, Pittsburgh, © 2004 Trustees of the University of Pennsylvania
DOI: 10.5281/zenodo.5054727
title: RRING T4.3.5 Report and Coding

description: The documents, ‘RRING T4.3.5 Report and Coding’, supports the thematic focus analysis subtask 4.3.5 in Task 4.3 (T4.3) under Work Package (WP) 4 <em>(Global comparative analysis of the RRI State of the Art)</em>, in the EU Horizon 2020 project: <em>Responsible Research and Innovation Networking Globally (RRING)</em>. The overarching project aim is to bring Responsible Research and Innovation (RRI) into the linked up global world to promote mutual learning and collaboration in RRI. The scope of work in the subtask 4.3.5 involves a comparative analysis identifying key ethics topics and RRI players, leaders and networks globally, which are relevant to Ethics topic in diferent regions of the world.
DOI: 10.35111/jf6e-hm83
title: Arabic Treebank: Part 3 v 1.0

description: <h3>Introduction</h3><br>
<p>Arabic Treebank: Part 3 v 1.0 was produced by Linguistic Data Consortium (LDC) catalog number LDC2004T11 and ISBN 1-58563-298-8.</p><br>
<p>This publication is the third part of a corpus of 1,000,000 words of Arabic Treebank, designed to support language resear ch and development of language technology for Modern Standard Arabic. Part one was released in 2003 as <a href="http://catalog.ldc.upenn.edu/LDC2003T06" rel="nofollow">Arabic Treebank: Part 1 v 2.0</a>, having the source data extracted from Agence France Press stories. Part two was released in 2004 as <a href="http://catalog.ldc.upenn.edu/LDC2004T02" rel="nofollow">Arabic Treebank: Part 2 v 2.0</a>, having the source data extracted from Al-Hayat distributed by Ummah. The current Arabic Treebank: Part 3 v 1.0 corpus consists of stories from An Nahar News Agency.</p><br>
<h3>Data</h3><br>
<p>This corpus includes 600 stories from the An Nahar News Text. There are a total of 340,281 words (counting non-Arabic tokens such as numbers and punctuation) in the 600 files - one story per file. New features of annotation include complete vocalization (including case endings), lemma IDs, and more specific POS tags for verbs and particles.</p><br>
<p>The corpus contains 293,035 Arabic-only word tokens (prior to the separation of clitics), of which 290,842 (99.25%) were provided with an acceptable morphological analysis and POS tag by the morphological parser, and 2,193 (0.75%) were items that the morphological parser failed to analyze correctly.</p><br>
<h3>Samples</h3><br>
<p>Please view the following samples:</p><br>
<ul><br>
<li><a href="desc/addenda/LDC2004T11.sgm.txt">sgm Sample</a></li><br>
<li><a href="desc/addenda/LDC2004T11.xml">xml Sample</a></li><br>
<li><a href="desc/addenda/LDC2004T11.xml.txt">txt Sample</a></li><br>
</ul><br>
<h3>Updates</h3><br>
<p>There are no updates available at this time.</p></br>
Portions © 2002 An Nahar, © 2003, 2004 Trustees of the University of Pennsylvania
DOI: 10.5281/zenodo.5054726
title: RRING T4.3.5 Report and Coding

description: The documents, ‘RRING T4.3.5 Report and Coding’, supports the thematic focus analysis subtask 4.3.5 in Task 4.3 (T4.3) under Work Package (WP) 4 <em>(Global comparative analysis of the RRI State of the Art)</em>, in the EU Horizon 2020 project: <em>Responsible Research and Innovation Networking Globally (RRING)</em>. The overarching project aim is to bring Responsible Research and Innovation (RRI) into the linked up global world to promote mutual learning and collaboration in RRI. The scope of work in the subtask 4.3.5 involves a comparative analysis identifying key ethics topics and RRI players, leaders and networks globally, which are relevant to Ethics topic in diferent regions of the world.
DOI: 10.6073/pasta/cde910bba236d5f56d1182a8db999d92
title: Soil Temperature and Water Content in Macrosystems Biodiversity Project at Harvard Forest 2011-2012

description: Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. Readings of soil temperature and soil moisture were taken with HOBO sensors from November 2011 to November 2012. These sensors were installed at five experimental tree growth plots installed by the Enquist Lab (PI, Brian Enquist) from the University of Arizona as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
DOI: 10.35111/dahz-tn26
title: NIST Meeting Pilot Corpus Transcripts and Metadata

description: <h3>Introduction</h3> <p>NIST Meeting Pilot Corpus Transcripts and Metadata was produced by Linguistic Data Consortium (LDC) catalog number LDC2004T13 and ISBN 1-58563-303-8. </p><p>This corpus contains the full speech transcripts created by the Linguistic Data Consortium for the NIST Automatic Meeting Recognition Project as well as a metadata database with useful information about the meeting forums, topics, participants and recording conditions and equipment. The corresponding speech files are available as the <a href="http://catalog.ldc.upenn.edu/LDC2004S09" rel="nofollow">NIST Meeting Pilot Corpus Speech</a>, while the video files will be published later as NIST Meeting Pilot Corpus Video. </p><p>For more information, documentation, and updates made after the release of this corpus, please consult the <a href="http://www.nist.gov/speech/test_beds/mr_proj/meeting_corpus_1" rel="nofollow"> NIST project website</a> for the corpus. </p><h3>Data</h3> <p>The data for the NIST Automatic Meeting Recognition Project was collected at the NIST Gaithersburg, MD Meeting Data Collection Laboratory and includes 19 meetings (comprising about 15 hours of data) recorded between November 2001 and December 2003. </p><p>The full transcriptions included in this release were created using a "quick" transcription procedure. There are ~151K-words and 6K unique words. A variety of information was manually recorded during the collection of the pilot corpus about the subjects and recording setup. This information was stored in a relational database. A fully-updated online version of the database is available from the <a href="http://www.nist.gov/speech/test_beds/mr_proj/meeting_corpus_1/recordings/index.html" rel="nofollow">NIST project website</a>. </p><h3>Updates</h3> <p>There are no updates available at this time. </p> </br>
Portions © 2004 Trustees of the University of Pennsylvania
DOI: 10.35111/9r29-gt54
title: Proposition Bank I

description: <h3>Introduction</h3><br>
<p>Proposition Bank I was developed at the University of Pennsylvania's Computer and Information Sciences Department and is a semantic annotation of the Wall Street Journal section of <a href="http://catalog.ldc.upenn.edu/LDC95T7" rel="nofollow"> Treebank-2</a>. More specifically, each verb occurring in the Treebank was treated as a semantic predicate and the surrounding text was annotated for arguments and adjuncts of the predicate. The verbs were also tagged with coarse grained senses and with inflectional information. </p><br>
<p>All data was subject to double blind, adjudicated annotation.</p><br>
<h3>Data</h3><br>
<p>There are two basic components to Propbank:</p><br>
<ul><br>
<li><strong>The Verb Lexicon.</strong> A frames file, consisting of one or more frame sets, has been created for each verb occuring in the Treebank. These files serve as a reference for the annotators and for users of the data. 3,324 such files have been created, totalling about 5.5 MB of uncompressed data.</li><br>
<li><strong>The Annotation.</strong> There are approximately 113,000 annotated verb tokens. These verb tokens include all those occurring in over one million words of the Wall Street Journal section of the Penn Treebank, excluding 'be' and auxiliary uses of 'do' and 'have.' There are annotations for over 3,200 unique verbs. These annotations are stored in a single file in standoff format, totalling ~9.6 MB of uncompressed data.</li><br>
</ul><br>
<h3>Updates</h3><br>
<p>Please check the <a href="http://verbs.colorado.edu/~mpalmer/projects/ace.html" rel="nofollow">Propbank homepage</a> for updates, tools, annotation guidelines, and published papers.</p><br>
<h3>Sponsorship</h3><br>
<p>This work was funded by DoD Grant MDA904-00C-2136, NSF grant IIS-9800658, and the Institute for Research in Cognitive Science at the University of Pennsylvania NSF-STC grant SBR-89-20230.</p></br>
Portions © 2004 Trustees of the University of Pennsylvania
DOI: 10.35111/sp5p-5637
title: 2000 Communicator Dialogue Act Tagged

description: <h3>Introduction</h3><br>
<p>2000 Communicator Dialogue Act Tagged is an addendum to <a href="http://catalog.ldc.upenn.edu/LDC2002S56" rel="nofollow">2000 Communicator Evaluation LDC2002S56</a> developed by the Linguistic Data Consortium in 2002. This addendum contains annotations on the transcriptions of the system and user utterances as taken from the logfiles of LDC2002S56.</p><br>
<p>Dialogue Act annotations are provided for system utterances in the dialogues. The dialogue act tags follow the DATE (Dialogue Act Tagging for Evaluation) scheme. In addition, both system and user utterances are tagged for named entities. </p><br>
<h3>Data</h3><br>
<p>The complete Dialogue Act annotated corpus is available as a single XML text file totalling approximately 16 MB.</p><br>
<p>The total number of dialogues is 648. There are 314,223 words (tokens) and 1,403,985 unique words.</p><br>
<p>Each dialogue is segmented into system and user turns. The total number of turns for the entire corpus is 24,728 (13,013 system turns and 11,715 user turns).</p><br>
<p>Except for one system, no utterance segmentation was done within the turns in the logfiles. The number of utterances is therefore the same as the number of turns. Utterance segmentation is carried out and reflected as the dialogue act segmentation. The total number of tagged dialogue acts is 22,701 with 61 unique tags. There are a total of 275,938 words in the system utterances and a total of 38,285 words in the user utterances.</p><br>
<p>Dialogue Act tagging was done automatically via pattern matching with human-labeled dialogue utterances used by the nine different participating Communicator Systems. Named entity tagging also followed the same methodology.</p><br>
<h3>Sponsorship</h3><br>
<p>This research was conducted using funding from the following grant number and funding agency: DARPA - contract MDA972-99-3-0003.</p><br>
<h3>Updates</h3><br>
<p>There are no updates available at this time.</p></br>
Portions © 2004 Trustees of the University of Pennsylvania
DOI: 10.35111/r53v-7r46
title: 2001 Communicator Dialogue Act Tagged

description: <h3>Introduction</h3><br>
<p>2001 Communicator Dialogue Act Tagged was produced by Linguistic Data Consortium (LDC) catalog number LDC2004T16 and ISBN 1-58563-306-2.</p><br>
<p>This corpus is an addendum to the <a href="http://catalog.ldc.upenn.edu/LDC2003S01" rel="nofollow">2001 Communicator Evaluation</a> corpus produced by the LDC in 2003. This addendum contains annotations on the transcriptions of the system and user utterances as taken from the corrected logfiles of the 2001 Communicator Evaluation corpus. Corrections were hand-done for missing or misaligned time-stamps on turn/utterance boundaries.</p><br>
<p>Dialogue Act Annotations are provided for system utterances in the dialogues. The dialogue act tags follow the DATE (Dialogue Act Tagging for Evaluation) scheme. In addition, both system and user utterances are tagged for named entities. For further description of the 2001 Communicator Evaluation corpus, please refer to the main publication from 2003 (<a href="http://catalog.ldc.upenn.edu/LDC2003S01" rel="nofollow">LDC2003S01</a>).</p><br>
<h3>Data</h3><br>
<p>The complete Dialogue Act annotated corpus is available as a single XML text file totalling approximately 67 MB.</p><br>
<p>The total number of dialogues is 1,683. There are 1,151,330 words (tokens) and 5,343,286 unique words.</p><br>
<p>Each dialogue is segmented into system and user turns. The total number of turns for the entire corpus is 78,718 (39,419 system turns and 39,299 user turns). Turns were further segmented into utterances in the system logfiles. The total number of utterances is 89,666 (39,417 system utterances and 50,249 user utterances). There are a total of 1,048,311 words in the system utterances and a total of 103,019 words in the user utterances.</p><br>
<p>The total number of tagged dialogue acts is 82,277 with 68 unique tags. Dialogue Act tagging was done automatically using pattern matching with human-labeled dialogue utterances used by the nine different participating Communicator Systems. Named entity tagging also followed the same methodology.</p><br>
<h3>Sponsorship</h3><br>
<p>This research was conducted using funding from the following grant number and funding agency: DARPA contract MDA972-99-3-0003.</p><br>
<h3>Samples</h3><br>
<p>Please view this <a href="desc/addenda/LDC2004T16.xml">sample (XML)</a>.</p><br>
<h3>Updates</h3><br>
<p>There are no updates available at this time.</p></br>
Portions © 2004 Trustees of the University of Pennsylvania
DOI: 10.35111/qhv1-1z67
title: Arabic News Translation Text Part 1

description: <h3>Introduction</h3><br>
<p>Arabic News Translation Text Part 1 was produced by Linguistic Data Consortium (LDC) catalog number LDC2004T17 and ISBN 1-58563-307-0.</p><br>
<p>To support the development of automatic machine translation systems, the LDC was sponsored to solicit English translations for a single set of Arabic source materials. The source Arabic text was selected and translated in different LDC projects during the time period of November 2002 to February 2004. A total of about 441K Arabic words were selected from three sources, namely Xinhua, AFP, and An Nahar, and translation services were provided by eight translation agencies who translated each Arabic news story once.</p><br>
<p>The Xinhua and An Nahar stories and their translations were created for TIDES Machine Translation, while the AFP stories and their English translations were created for TIDES TDT. The development of all these translations followed roughly the same guidelines and procedures.</p><br>
<h3>Data</h3><br>
<p>Three sources of journalistic Arabic text were selected to provide the Arabic material:</p><br>
<p>- AFP News Service: 250 news stories, October 1998 - December 1998 - Xinhua News Service: 670 news stories, November 2001 - March 2002 - An Nahar: 606 news stories, October 2001 to December 2002 (total: 1,526 stories)</p><br>
<p>The overall count of Arabic words by source is shown in the following table:</p><br>
<p>AFP 44,193 Xinhua 99,514 An Nahar 297,533 ---------------- total 441,240</p><br>
<p>For the Arabic data, there are 441K-words, while for the English translation, there are approximately 581K-words in total, and 25K unique words.</p><br>
<p>Each translation team was provided with translation guidelines. In accordance with the guidelines, each translation team was asked to return the first five stories for quality checking in each project. This was to ensure that each translation team had indeed understood and was following the guidelines, and the translation quality was acceptable. The LDC sent the translations back to the translation team for any deviations from the guidelines or any quality issues detected. Subsequent translation submissions were continuously monitored for conformance and quality. Once the full set of translations was complete, a final pass of reformatting and validation was carried out, to assure alignability of segments, and to convert the translated texts into SGML format. An Arabic-English bilingual LDC employee went through all the source data and English translations, and fixed any problems that had been found.</p><br>
<p>For the present release, the corpus content is organized into source and translation directories, containing 1,526 files in source and 1,526 files in translation, one news story per file.</p><br>
<h3>Samples</h3><br>
<p>Please view the following <a href="desc/addenda/LDC2004T17.sgm">SGML sample</a>.</p></br>
Portions © 2001-2002 An Nahar, © 2001-2002 Xinhua News Agency, © 1998 Agence France-Presse, © 2004 Trustees of the University of Pennsylvania.
DOI: 10.35111/et6p-7264
title: Arabic English Parallel News Part 1

description: <p>This corpus contains Arabic news stories and their English translations LDC collected via Ummah Press Service from January 2001 to September 2004. It totals 8,439 story pairs, 68,685 sentence pairs, 2M Arabic words and 2.5M English words. The corpus is aligned at sentence level. All data files are SGML documents.</p><br>
<p>Please examine this <a href="desc/addenda/LDC2004T18_Arabic.gif" rel="nofollow">Arabic example</a> and this <a href="desc/addenda/LDC2004T18_English.html" rel="nofollow">English example</a> to review a sample of this corpus.</p><br>
<p> </p></br>
Portions © 2001-2004 Ummah Press Service, © 2003-2004 Trustees of the University of Pennsylvania