From ae884251f2c2637e9d510e587b6e1c12be893a98 Mon Sep 17 00:00:00 2001 From: Thorben Date: Wed, 10 Aug 2022 19:03:45 +0200 Subject: [PATCH] zenodo link added --- README.md | 26 ++++++++++++++++---------- docs/abstract.pdf | Bin 148895 -> 0 bytes 2 files changed, 16 insertions(+), 10 deletions(-) delete mode 100644 docs/abstract.pdf diff --git a/README.md b/README.md index c257c6d..922ac29 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ This work is concerned with the automatic identification of generalizing passage In the following, we first establish a new state of the art for detecting generalizing passages in German fictional literature using a BERT model (Devlin et al., 2019). In a second step, we test whether the performance can be further improved by adding samples from a non-German corpus to the training data. We presented our results at the [KONVENS 2022](https://konvens2022.uni-potsdam.de/) Student Poster Session. If you are interested consider: -- Reading our [extended abstract](https://github.com/tschomacker/generalizing-passages-identification-bert/blob/main/docs/abstract.pdf) +- Reading our [extended abstract](https://zenodo.org/record/6979859) - Exploring our [conference poster](https://github.com/tschomacker/???) - Opening an [Issue](https://github.com/tschomacker/generalizing-passages-identification-bert/issues/new) - Reaching out to us directly @@ -161,13 +161,19 @@ The Preprocessing creates the three data set csv-files: MONACO: `corpus-public.c ## Cite Us -```python -@Conference{schomacker:2022, - author = {Thorben Schomacker and Tillmann Dönicke and Marina Tropmann-Frick}, - title = {Automatic Identification of Generalizing Passages in German Fictional Texts using BERT with Monolingual and Multilingual Training Data}, - booktitle = {KONVENS 2022 - Student Poster Session}, - year = {2022}, - month = {Sep.}, - url = {https://github.com/tschomacker/hauptprojekt} -} +``` + +@conference{schomackerAutomaticIdentificationGeneralizing2022, + title = {Automatic {Identification} of {Generalizing} {Passages} in {German} {Fictional} {Texts} using {BERT} with {Monolingual} and {Multilingual} {Training} {Data}}, + author = {Schomacker, Thorben and Dönicke, Tillmann and Tropmann-Frick, Marina}, + url = {https://zenodo.org/record/6979859}, + doi = {10.5281/zenodo.6979859}, + abstract = {Extended abstract submitted and accepted for the KONVENS 2022 Student Poster Session. The poster and code are available at https://github.com/tschomacker/generalizing-passages-identification-bert.}, + language = {eng}, + month = sep, + year = {2022}, + copyright = {Creative Commons Attribution 4.0 International}, + address = {Potsdam, Germany}, +} + ``` \ No newline at end of file diff --git a/docs/abstract.pdf b/docs/abstract.pdf deleted file mode 100644 index 9d6031ad1c166d65297c754c2cb4e284cab9a58a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 148895 zcmeFXRd6M{wx(;Bxy(#udzzVXA`S{Mt0H6a{>zRG$;sVf0npzp^+L^i; z8UX0OY5;mBHa2!<0Ie869l*>;M+cy1qXTFHXnz4%Spl@d0D3xlW(GO{tu%lMK&$Xq zcY1av01wZ1Lo0*7Gy(tje&1Oc|6?Hvt~Q1MS`|4%qpxKcS{XZ-e9e^sKr3Qu;b3U@ zRa)pe7z!EcTN`|J`@59UwX?Jb{1pX3YYRt9D|^7#!e#6X4NUbNtnC2w3}5R4&?> zk)F+fo|#FX*?@(WjowI~jg?uC&XCoRUYC(a^RG>?cd#?mwfydqrmtt9vt_KKr=!CL zMX;RdBQ~IcFgy!uWDOi!4Ul_64W2Uri5`RJ&pRSQD5m^Iu)ofqm(Lw#a0imQwFN_< z>d<{MN#NisHt@M`-~GTq7ZH<7^h~ts=j+@{#-1bww1tT%_ScsGGvNRI&Hq2+_&@dk 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