Smith College participated in the TREC News Background Linking task in 2019. We constructed a linear learning to rank model trained on the 2018 data and submitted runs that included features derived from ongoing research into automatic poetry understanding. In this notebook paper we detail the contents of our submissions and our lessons learned from this year’s participation.

/pdf/smith-at-trec2019-learning-to-rank-background-articles-with-4gvd7gb0h8.pdf

Smith at TREC2019: Learning to Rank Background Articles with Poetry Categories and Keyphrase Extraction.

Garden guide : the amateur gardener's handbook. Profusely illustrated with over 275 teaching plans and diagrams and reproduced photographs, all made expressly for this standard text book.

This edition includes an author's inscription written in two different pen colors, "J. W. Crawford aft Jack to Rev. W. O. Cornman."

Author's inscription in The poet scout: a book of song and story

We present our work on automatically detecting isnads, the chains of authorities for a re-port that serve as citations in hadith and other classical Arabic texts. We experiment with both sequence labeling methods for identifying isnads in a single pass and a hybrid “retrieve-and-tag” approach, in which a retrieval model first identifies portions of the text that are likely to contain start points for isnads, then a sequence labeling model identifies the exact starting locations within these much smaller retrieved text chunks. We find that the usefulness of full-document sequence to sequence models is limited due to memory limitations and the ineffectiveness of such models at modeling very long documents. We conclude by sketching future improvements on the tagging task and more in-depth analysis of the people and relationships involved in the social network that influenced the evolution of the written tradition over time.

Tracing Traditions: Automatic Extraction of Isnads from Classical Arabic Texts

POETRY: IDENTIFICATION, ENTITY RECOGNITION, AND RETRIEVAL

/pdf/poetry-identification-entity-recognition-and-retrieval-5f25d3nnef.pdf

John J

Papers

Poetry: Identification, Entity Recognition, and Retrieval