The Penn Discourse TreeBank 2.0.
What it is about
PDTB-2.0 is a lexically grounded annotation of discourse relations over the 1-million-word Wall Street Journal corpus. Each relation has two abstract-object arguments (Arg1, Arg2), and an explicit connective (18,459 tokens) or an inserted implicit connective (16,224) marks it; the rest are AltLex, EntRel and NoRel. Each relation has a three-level sense (class, type, subtype), an attribution record (source, type of attribution, scopal polarity, determinacy), and its arguments can lie far from the connective. Agreement is 90.2% exact-match for explicit arguments and 85.1% for implicit ones, and 94%, 84% and 80% at the class, type and subtype levels. The paper is a resource description with statistics, not a method.
Ideas
- I1. A sense table for Mova's explicit connectives, with the set of senses each one can carry (since, while, although, if). Let the frame reader pick a sense from the frames of the two arguments and report the sense set when it cannot choose. Measure per-connective sense accuracy on PDTB sections as a test only (LDC data).
- I2. Arg1 search window for explicit connectives. Subordinating connectives take their own clause as Arg2 and the other clause as Arg1, which is often in an earlier sentence. Let the link search for Arg1 in the previous sentence first, then in earlier sentences, and log how far it reached. Measure the distance distribution on our own text; do not assume the WSJ numbers hold for tales.
- I3. Attribution as a frame feature: each relation records whether its source is the writer, another named agent, or an unnamed one. The verb classes (say, believe, know, want) can come from the speech-act code in
prag. A relation attributed to someone else must not be counted as the writer's commitment in the output. - I4. Report at the class level when unsure. The hierarchy lets the reader answer "TEMPORAL, order unknown" instead of guessing a subtype. Score class-level and subtype-level answers separately so the trade-off is visible.
For Mova
The chapter is languages/en/36-discourse-relations.md (sections 4, 6, 7 and 11). The code is the frame and link code in prag and the connective handling in en (grep for the connective list before adding anything). The PDTB text and its data are LDC and NC: tests only, never in a release, and no PDTB examples in the repo.
Library summary
Written for the Research library (claude-opus-5-5) from the paper text, in our own words: the license "CC BY-NC-SA 3.0 (ACL Anthology, before 2016)" does not allow redistributing the text itself. Original — aclanthology.org/L08-1093.pdf
Summary
PDTB-2.0 is the second release of the Penn Discourse TreeBank. It adds discourse-level annotation to the roughly 1-million-word Wall Street Journal corpus, the same texts already covered by the Penn Treebank syntax and Propbank. The annotation is tied to words in the text. When a connective such as "because" or "as a result" signals a relation, the annotators mark it and its two text spans, Arg1 and Arg2. When two adjacent sentences are related but no connective is present, they insert a fitting "Implicit" connective. Every relation also gets a sense from a hierarchical scheme, and the source of each relation and each argument (attribution) is recorded. The scheme does not commit to any single theory of discourse structure, so researchers from different frameworks can use it and test their theories on it. The paper reports corpus statistics, especially on where Arg1 is located and how far it extends, and lists what changed since PDTB-1.0. The resource matters because it puts syntax, semantics and discourse on one corpus. That makes it useful for training and evaluation in summarization, question answering, text generation and connective sense disambiguation.
Key points
- PDTB-2.0 was distributed through the LDC (LDC2008T05) in February 2008, after a first preliminary release in April 2006. It includes alignments with the Penn Treebank, but not with Propbank.
- Explicit connectives come from three classes: subordinating conjunctions, coordinating conjunctions and discourse adverbials. Modified forms ("only because"), conjoined forms and paired forms ("either..or") are also annotated.
- There are 18,459 Explicit connective tokens. For about 61% of them, Arg1 is in the connective's own sentence, about 30% in the sentence just before, and 9% (1,666) in an earlier, non-adjacent sentence. Those distant cases mostly involve discourse adverbials, sentence-initial coordinators and "also."
- Arguments follow a minimality principle: each contains only the text needed to interpret the relation. Material that helps but isn't required is marked separately as Sup1/Sup2.
- Attribution is annotated for each relation and each argument. It supports subjectivity analysis and multi-perspective QA, and it shows how sentence structure and discourse structure interact.
Cite
@inproceedings{prasad2008penn,
title = {{The Penn Discourse TreeBank 2.0.}},
author = {Prasad, Rashmi and Dinesh, Nikhil and Lee, Alan and Miltsakaki, Eleni and Robaldo, Livio and Joshi, Aravind and Webber, Bonnie},
booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
year = {2008},
doi = {10.63317/55sr8v9kexr7},
url = {https://doi.org/10.63317/55sr8v9kexr7}
}References
- Lynn Carlson, Daniel Marcu, and Mary Ellen Okurowski. 2001. Building a discourse-tagged corpus in the framework of rhetorical structure theory. In Proceedings of the 2nd SIGDIAL Workshop on Discourse and Dialogue, Eurospeech 2001. find our card
- Nikhil Dinesh, Alan Lee, Eleni Miltsakaki, Rashmi Prasad, Aravind Joshi, and Bonnie Webber. 2005. Attribution and the (non)-alignment of syntactic and discourse arguments of connectives. In Proceedings of the ACL Workshop on Frontiers in Corpus Annotation II: Pie in the Sky. find
- Katherine Forbes-Riley, Bonnie Webber, and Aravind Joshi. 2006. Computing discourse semantics: The predicate-argument semantics of discourse connectives in D-LTAG. Journal of Semantics, 23:55–106. find
- Jaakko Hintikka. 1971. Semantics for propositional attitudes. In L. Linsky, editor, Reference and Modality, pages 145–167. Oxford. find
- Laurence Horn. 1978. Remarks on neg-raising. In Peter Cole, editor, Syntax and Semantics 9: Pragmatics. Academic Press, New York. find
- Lauri Karttunen. 1971. Some observations on factivity. Papers in Linguistics, 4:55–69. find
- Andrew Kehler. 2002. Coherence, Reference, and the Theory of Grammar. CSLI Publications, Stanford. find
- Carol Kiparsky and Paul Kiparsky. 1971. Fact. In D. D. Steinberg and L. A. Jakobovits, editors, Semantics: An Interdisciplinary Reader in Philosophy, Linguistics and Psychology, pages 345–369. Cambridge University Press, Cambridge. find
- Alan Lee, Rashmi Prasad, Aravind Joshi, Nikhil Dinesh, and Bonnie Webber. 2006. Complexity of dependencies in discourse: Are dependencies in discourse more complex than in syntax? In Proceedings of the 5th International Workshop on Treebanks and Linguistic Theories. find
- Beth Levin. 1993. English verb classes and alternations: a preliminary investigation. University of Chicago Press. find
- William C. Mann and Sandra A. Thompson. 1988. Rhetorical structure theory. Toward a functional theory of text organization. Text, 8(3):243–281. ↗ our card
- Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of english: The Penn Treebank. Computational Linguistics, 19(2):313–330. ↗ our card
- Eleni Miltsakaki, Rashmi Prasad, Aravind Joshi, and Bonnie Webber. 2004. Annotating discourse connectives and their arguments. In Proceedings of the HLT/NAACL Workshop on Frontiers in Corpus Annotation, pages 9– 16. find
- Eleni Miltsakaki, Nikhil Dinesh, Rashmi Prasad, Aravind Joshi, and Bonnie Webber. 2005. Experiments on sense annotation and sense disambiguation of discourse connectives. In Proceedings of the Fourth Workshop on Treebanks and Linguistic Theories. find
- Martha Palmer, Daniel Guildea, and Paul Kingsbury. 2005. The Proposition Bank: an annotated corpus of semantic roles. Computational Linguistics, 31(1):71–106. find our card
- Rashmi Prasad, Aravind Joshi, Nikhil Dinesh, Alan Lee, Eleni Miltsakaki, and Bonnie Webber. 2005. The Penn Discourse TreeBank as a resource for natural language generation. In Proceedings of the Corpus Linguistics Workshop on Using Corpora for NLG. find our card
- Rashmi Prasad, Nikhil Dinesh, Alan Lee, Aravind Joshi, and Bonnie Webber. 2006. Annotating attribution in the Penn Discourse TreeBank. In Proceedings of the COLING/ACL Workshop on Sentiment and Subjectivity in Text, pages 31–38. find our card
- Ivan A. Sag and Carl Pollard. 1991. An integrated theory of complement control. Language, 67(1):63–113. find
- PDTB-Group. 2006. The Penn Discourse TreeBank 1.0 Annotation Manual. Technical Report IRCS-06-01, Institute for Research in Cognitive Science, University of Pennsylvania. find our card
- PDTB-Group. 2008. The Penn Discourse TreeBank 2.0 Annotation Manual. Technical Report IRCS-08-01, Institute for Research in Cognitive Science, University of Pennsylvania. find our card
- Bonnie Webber and Aravind Joshi. 1998. Anchoring a lexicalized tree-adjoining grammar for discourse. In Manfred Stede, Leo Wanner, and Eduard Hovy, editors, Discourse Relations and Discourse Markers: Proceedings of the Conference, pages 86–92. Association for Computational Linguistics. Bonnie Webber and Rashmi Prasad. To appear. Discourse structure: Swings and roundabouts. In Cathrine Fabricius-Hansen and Bergljot Behrens, editors, Linguistics, Special issue on Structuring Information in Discourse: the Explicit/Implicit Dimension. find
- Bonnie Webber, Aravind Joshi, Matthew Stone, and Alistair Knott. 2003. Anaphora and discourse structure. Computational Linguistics, 29(4):545–587. find our card
- Janyce Wiebe, Theresa Wilson, and Claire Cardie. 2005. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation, 1(2). find
- Florian Wolf and Edward Gibson. 2005. Representing discourse coherence: A corpus-based study. Computational Linguistics, 31(2). find