longtable cut text overlapping with footnote

I am using longtable since I want to embed at after my text and let it continue on the next page. Also, I am using multirow. Unfortunately, the one of the cell’s texts is hanging weirdly into the footnote area.
my code:

documentclass[11pt,titlepage,oneside,openany]{book}
begin{document}
begin{longtable}{|l|l|l|l|}
hline
begin{tabular}[c]{@{}l@{}}Benchmark\ Data Setend{tabular} & begin{tabular}[c]{@{}l@{}}Accuracy \ / Errorend{tabular} & Model & Paper \ hline
multirow{ 3}{*}{SST-5} & 56.2                                                        & begin{tabular}[c]{@{}l@{}}BCN+Suffix \ BiLSTM-Tied+CoVeend{tabular}                   & begin{tabular}[c]{@{}l@{}}Improved Sentence Modeling \ using Suffix Bidirectional LSTMend{tabular}                                                           \ cline{2-4} 
                                                                                 & 55.5                                                        & BERTLARGE                                                                                & begin{tabular}[c]{@{}l@{}}Fine-grained Sentiment \ Classification using BERTend{tabular}                                                                     \ cline{2-4} 
                                                                                 & 54.7                                                        & BCN+ELMo                                                                                 & begin{tabular}[c]{@{}l@{}}Deep contextualized \ word representationsend{tabular}                                                                             \ hline
multirow{3}{*}{begin{tabular}[c]{@{}l@{}}Yelp\ Review\ Fullend{tabular}}    & begin{tabular}[c]{@{}l@{}}Error: \ 27.80end{tabular}     & XLNet                                                                                    & begin{tabular}[c]{@{}l@{}}XLNet: Generalized Autoregressive\ Pretraining for Language Understandingend{tabular}                                              \ cline{2-4} 
                                                                                 & begin{tabular}[c]{@{}l@{}}Error:\ 28.62end{tabular}      & BERT_large+ITPT                                                                         & begin{tabular}[c]{@{}l@{}}How to Fine-Tune BERT \ for Text Classification?end{tabular}                                                                       \ cline{2-4} 
                                                                                 & begin{tabular}[c]{@{}l@{}}Error:\ 29.32end{tabular}      & BERT_large                                                                              & begin{tabular}[c]{@{}l@{}}Unsupervised Data Augmentation\ for Consistency Trainingend{tabular}                                                               \ hline
theadmultirow{3}{*}{begin{tabular}[c]{@{}l@{}}Amazon \ Review\ Fullend{tabular}} & 65.83                                                       & BERT_large                                                                              & begin{tabular}[c]{@{}l@{}}Unsupervised Data Augmentation\ for Consistency Trainingend{tabular}                                                               \ cline{2-4} 
                                                                                 & 65.19                                                       & Deep CNN                                                                                 & begin{tabular}[c]{@{}l@{}}Deep Pyramid Convolutional Neural \ Networks for Text Categorizationend{tabular}                                                   \ cline{2-4} 
                                                                                 & 64.43                                                       & Deep RNN                                                                                 & begin{tabular}[c]{@{}l@{}}Disconnected Recurrent Neural \ Networks for Text Categorizationend{tabular}                                                       \ hline
multirow{3}{*}{begin{tabular}[c]{@{}l@{}}SemEval \ 2017 4Cend{tabular}}      & begin{tabular}[c]{@{}l@{}}Error:\ 0.481end{tabular}      & begin{tabular}[c]{@{}l@{}}LSTMs+CNNs\ ensemble with \ multiple conv. opsend{tabular} & begin{tabular}[c]{@{}l@{}}BB twtr at SemEval-2017 Task 4: \ Twitter Sentiment Analysis \ with CNNs and LSTMsend{tabular}                                    \ cline{2-4} 
                                                                                 & begin{tabular}[c]{@{}l@{}}Error:\ 0.555end{tabular}      & begin{tabular}[c]{@{}l@{}}Deep Bi-LSTM\ +attentionend{tabular}                        & begin{tabular}[c]{@{}l@{}}DataStories at SemEval-2017 Task 4: \ Deep LSTM with Attention for Message-\ level and Topic-based Sentiment Analysisend{tabular} \ cline{2-4} 
                                                                                 & begin{tabular}[c]{@{}l@{}}Error:\ 0.599end{tabular}      & RNTN                                                                                     & begin{tabular}[c]{@{}l@{}}Amobee at SemEval-2017 Task 4: \ Deep Learning System for Sentiment \ Detection on Twitterend{tabular}                            \ hline
caption[State of the Art Benchmark Results]{State of the Art Benchmark Results}
label{fig:related_work}
end{longtable}
end{document}

Thank you in advance